Centaur Labs · Schema
CaseResult
CompanyArtificial IntelligenceData AnnotationData LabelingMachine LearningHealthcareMedical ImagingTraining Data
Properties
| Name | Type | Description |
|---|---|---|
| task_id | integer | The task ID. |
| task_name | string | The task name. |
| project_id | integer | The project ID. |
| project_name | string | The project name. |
| case_id | integer | The case ID. |
| task_type | string | The labeling task (e.g. choice, box, circle, etc.) |
| content_type | string | The content type of the task (e.g. image, video, etc.) |
| labeling_state | string | The labeling state of the case (e.g. Labeled, Gold Standard, etc.) |
| n_qualified_opinions | integer | The number of qualified opinions collected for the case. |
| results | array | |
| top_reads | array | The list of top labeler opinions used to create the combined opinion for the case. Included for non-cuboid task types. |
| patch | stringnull | An identifier for the patch within the image. |
| internal_notes | stringnull | Internal notes for the case. |
| explanation | stringnull | Explanation for the case. |
| pre_answer_explainer | stringnull | Pre-answer explainer for the case. |
| tags | array | Tags associated with the case. |
| comments | array | Comments submitted by users on the case. |
| flags | array | Messages submitted by users who flagged the case. |
| static_highlight_ranges | array | Range and text for static highlighted ranges |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/centaur-labs/main/json-schema/centaur-labs-case-result-schema.json",
"title": "CaseResult",
"x-generated": "2026-10-14",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/centaur-labs-label-apis-openapi.yml#/components/schemas/CaseResult",
"type": "object",
"properties": {
"task_id": {
"type": "integer",
"description": "The task ID."
},
"task_name": {
"type": "string",
"description": "The task name."
},
"project_id": {
"type": "integer",
"description": "The project ID."
},
"project_name": {
"type": "string",
"description": "The project name."
},
"case_id": {
"type": "integer",
"description": "The case ID."
},
"task_type": {
"type": "string",
"description": "The labeling task (e.g. choice, box, circle, etc.)"
},
"content_type": {
"type": "string",
"description": "The content type of the task (e.g. image, video, etc.)"
},
"labeling_state": {
"type": "string",
"description": "The labeling state of the case (e.g. Labeled, Gold Standard, etc.)"
},
"n_qualified_opinions": {
"type": "integer",
"description": "The number of qualified opinions collected for the case."
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"content_metadata": {
"type": "array",
"items": {
"$ref": "#/$defs/ContentMetadata"
}
},
"prelabel": {
"type": "array",
"description": "The pre-label for the content element. Included for non-classification tasks only.",
"items": {
"$ref": "#/$defs/ClassAnswer"
}
},
"correct_annotation": {
"type": "array",
"description": "The correct annotation for the content element being labeled.",
"items": {
"$ref": "#/$defs/ClassAnswer"
}
},
"combined_opinion": {
"type": "array",
"description": "The combined opinion for the content element based on labeler opinions.",
"items": {
"$ref": "#/$defs/ClassAnswer"
}
},
"correct_annotation_classes": {
"type": [
"array",
"null"
],
"description": "The correct answer classes for the content element being labeled. Included for classification tasks only.",
"items": {
"type": "string"
}
},
"combined_opinion_classes": {
"type": [
"array",
"null"
],
"description": "The answer classes for the combined opinion for the content element. Included for classification tasks only.",
"items": {
"type": "string"
}
},
"agreement": {
"type": [
"number",
"null"
],
"description": "The agreement between labeler opinions on the content element within the case."
},
"difficulty": {
"type": [
"number",
"null"
],
"description": "The difficulty of the content element within the case."
},
"answer_class_stats": {
"type": "array",
"description": "The opinion statistics for each answer class in the case.",
"items": {
"$ref": "#/$defs/AnswerClassStats"
}
}
}
}
},
"top_reads": {
"type": "array",
"description": "The list of top labeler opinions used to create the combined opinion for the case. Included for non-cuboid task types.",
"maxItems": 500,
"items": {
"type": "object",
"properties": {
"read_id": {
"type": "integer",
"description": "An identifier for the labeler opinion."
},
"user_id": {
"type": "integer",
"description": "The ID of the labeler who submitted the opinion."
},
"qscore": {
"type": "number",
"description": "The confidence level of the user opinion."
}
}
}
},
"patch": {
"type": [
"string",
"null"
],
"description": "An identifier for the patch within the image."
},
"internal_notes": {
"type": [
"string",
"null"
],
"description": "Internal notes for the case."
},
"explanation": {
"type": [
"string",
"null"
],
"description": "Explanation for the case."
},
"pre_answer_explainer": {
"type": [
"string",
"null"
],
"description": "Pre-answer explainer for the case."
},
"tags": {
"type": "array",
"description": "Tags associated with the case.",
"items": {
"type": "string"
}
},
"comments": {
"type": "array",
"description": "Comments submitted by users on the case.",
"items": {
"type": "string"
}
},
"flags": {
"type": "array",
"description": "Messages submitted by users who flagged the case.",
"items": {
"type": "string"
}
},
"static_highlight_ranges": {
"type": "array",
"description": "Range and text for static highlighted ranges",
"items": {
"type": "object",
"properties": {
"range": {
"type": "array",
"description": "The range for static highlights",
"items": {
"type": "array",
"items": {
"type": "integer"
},
"minItems": 2,
"maxItems": 2
}
},
"text": {
"type": "string",
"description": "The text for the static highlighted range"
}
}
}
}
},
"$defs": {
"AnswerClassStats": {
"type": "object",
"properties": {
"answer_class": {
"type": "string",
"description": "The answer class for the case."
},
"n_qualified_opinions": {
"type": "integer",
"description": "The number of qualified opinions supporting the answer class (i.e. classification opinions including it, or segmentation/range opinions including a finding of the answer class)."
},
"sum_confidence_scores": {
"type": "number",
"description": "The sum of confidence scores (each between 0 and 1) of the supporting opinions for the answer class."
},
"agreement": {
"type": [
"number",
"null"
],
"description": "The agreement between labeler opinions on the answer class."
},
"difficulty": {
"type": [
"number",
"null"
],
"description": "The difficulty of the answer class on the content element being labeled."
}
}
},
"ClassAnswer": {
"type": "object",
"properties": {
"answer_class": {
"type": "string",
"description": "The label class within the answer (correct annotation, combined opinion, or labeler opinion)."
},
"is_correct": {
"type": "boolean",
"description": "Whether the answer includes the class. Included for classification tasks only."
},
"geometries": {
"type": [
"array",
"null"
],
"description": "The segmentation for the answer class in WKT format. Included for contour segmentation tasks only.",
"items": {
"type": "string"
}
},
"mask": {
"type": [
"string",
"null"
],
"description": "A pre-signed URL to the segmentation for the answer class in mask (TIFF binary array) format. Included for mask segmentation tasks only."
},
"ranges": {
"type": [
"array",
"null"
],
"description": "The integer ranges for the answer class. Included for range tasks only.",
"items": {
"type": "array",
"items": {
"type": "integer"
},
"minItems": 2,
"maxItems": 2
}
},
"entities": {
"type": [
"array",
"null"
],
"description": "The entities for the answer class. Included for NER tasks only.",
"items": {
"type": "string"
}
},
"freetexts": {
"type": [
"array",
"null"
],
"description": "An array of freetexts with one entry (array or null) per finding.",
"items": {
"type": [
"array",
"null"
],
"description": "An array of freetexts for one specific finding. May contain 0, 1, or multiple text entries.",
"items": {
"type": "string"
}
}
}
}
},
"ContentMetadata": {
"type": "object",
"properties": {
"content_id": {
"type": "integer",
"description": "An identifier for the content."
},
"origin": {
"type": "string",
"description": "An identifier for the file origin of the content."
},
"created_at": {
"type": "string",
"description": "Timestamp that content was created."
},
"series": {
"type": [
"string",
"null"
],
"description": "An identifier for the series that the content belongs to."
},
"series_index": {
"type": [
"integer",
"null"
],
"description": "The index of the content within the series (if any) that it belongs to."
},
"dicom_study_uid": {
"type": [
"string",
"null"
],
"description": "The DICOM study UID of the content."
},
"dicom_series_uid": {
"type": [
"string",
"null"
],
"description": "The DICOM series UID of the content."
},
"dicom_instance_uid": {
"type": [
"string",
"null"
],
"description": "The DICOM instance UID of the content."
}
}
}
}
}
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