{"id":"W4409004024","doi":"10.2196/69672","title":"AI-Based Identification Method for Cervical Transformation Zone Within Digital Colposcopy: Development and Multicenter Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colposcopy; Medicine; Cervical cancer; Radiology; Artificial intelligence; Cervical screening; Segmentation; Medical physics; Gynecology; Cancer; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003329946,0.0001076476,0.0001917908,0.0001442196,0.0001125636,0.0001106921,0.00005328497,0.00006261039,0.0002142785],"category_scores_gemma":[0.00003206097,0.00009250284,0.0000398773,0.000235455,0.00002494584,0.0001837565,0.00001604428,0.0001232074,0.000005965246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026032,"about_ca_system_score_gemma":0.0003289099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004980799,"about_ca_topic_score_gemma":0.0001942079,"domain_scores_codex":[0.9989008,0.00003366833,0.0003532832,0.0002580477,0.0002929998,0.0001612486],"domain_scores_gemma":[0.9993541,0.00007779768,0.00004862099,0.0001311461,0.0003057819,0.00008258844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007225851,0.001826248,0.05393652,0.002848283,0.0003327624,0.000002590481,0.009050458,0.0001983627,0.004045958,0.0004249981,0.001522973,0.918585],"study_design_scores_gemma":[0.02126044,0.0007004412,0.698393,0.0002304869,0.0003229442,0.000001292223,0.002274982,0.06384949,0.1686689,0.0001591671,0.04376026,0.0003786384],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5390847,0.0001754111,0.4449814,0.007200141,0.0002873697,0.007044265,0.00006744752,0.00009276878,0.001066578],"genre_scores_gemma":[0.9938308,0.000004004119,0.002182297,0.00080474,0.00005357587,0.002242046,0.0001363671,0.0000124109,0.0007337795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9182063,"threshold_uncertainty_score":0.3772157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598926416719532,"score_gpt":0.440047242969019,"score_spread":0.4040579788018236,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}