{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00472309,0.001217971,0.0007994121,0.001571534,0.0004451293,0.000775074,0.001484926,0.0009575849,0.001437767],"category_scores_gemma":[0.007539719,0.0002615591,0.00133227,0.0008093802,0.0004862218,0.0008038522,0.0009953358,0.0008323733,0.0004856354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055213,"about_ca_system_score_gemma":0.001282061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156594,"about_ca_topic_score_gemma":0.007918645,"domain_scores_codex":[0.9984636,0.0004958755,0.0001548889,0.000426771,0.0003319602,0.0001269794],"domain_scores_gemma":[0.9964483,0.00115465,0.0002988613,0.000536482,0.001419871,0.0001418831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00288693,0.004086775,0.2639982,0.001215055,0.001827644,0.0007327938,0.0003916696,0.2880661,0.01575115,0.001348003,0.01157821,0.4081175],"study_design_scores_gemma":[0.0001403988,0.001062696,0.0370369,0.00005722097,0.0002611206,0.0002154307,0.0001495861,0.9535753,0.005678218,0.0003341922,0.001455655,0.00003315434],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942591,0.001596691,0.04917159,0.0002544133,0.000212548,0.0009525887,0.002089311,0.001075011,0.002056881],"genre_scores_gemma":[0.9584131,0.0003923868,0.03447958,0.0001135539,0.00004703984,0.0004895551,0.004871471,0.00003597169,0.001157423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156594,"threshold_uncertainty_score":0.03113651,"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."}}