{"id":"W4415110146","doi":"10.2196/63767","title":"Deep Learning Models to Screen Electronic Health Records for Breast and Colorectal Cancer Progression: Performance Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR AI","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; University of Waterloo; CancerCare Manitoba","funders":"","keywords":"Deep learning; Health records; Chart; Electronic health record; Colorectal cancer; Breast cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395312,0.000141111,0.0002027954,0.000158029,0.0004798739,0.0001125287,0.0003430985,0.00004920856,0.000008790763],"category_scores_gemma":[0.00003345911,0.0001310481,0.00002510101,0.0005183819,0.00001309527,0.0003224437,0.0002025238,0.0003719523,0.000002123582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819203,"about_ca_system_score_gemma":0.0007308321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003997198,"about_ca_topic_score_gemma":0.001031344,"domain_scores_codex":[0.9980948,0.0003130703,0.0002519956,0.000522884,0.0003483759,0.0004688832],"domain_scores_gemma":[0.9991893,0.00007397064,0.0001109998,0.0002338175,0.0002791973,0.0001127829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000812363,0.00005738347,0.07207719,0.00008227225,0.00001367803,1.699777e-7,0.002786585,0.02444552,0.000003318806,0.0007803005,0.0001942971,0.899478],"study_design_scores_gemma":[0.0005115156,0.001280688,0.1777923,0.0001182581,0.000005086925,0.000004025602,0.00009478274,0.819285,0.000005193343,0.0002648121,0.0005333958,0.0001049611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254725,0.0010775,0.1528805,0.01416902,0.000306849,0.005629841,0.000003287664,0.0002494104,0.0002110494],"genre_scores_gemma":[0.9933105,0.0000294806,0.003594127,0.0007159984,0.0000742124,0.002094378,0.000005119219,0.00001199551,0.0001641931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8993731,"threshold_uncertainty_score":0.5343985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988774123357946,"score_gpt":0.3974202329236167,"score_spread":0.3675324916900372,"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."}}