{"id":"W3012115385","doi":"10.1016/j.jtho.2020.01.025","title":"Comprehensive Molecular and Pathologic Evaluation of Transitional Mesothelioma Assisted by Deep Learning Approach: A Multi-Institutional Study of the International Mesothelioma Panel from the MESOPATH Reference Center","year":2020,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of British Columbia; University Health Network","funders":"Genentech; Singapore Police Force; National Cancer Institute; National Institutes of Health; Institut National Du Cancer; Intuitive Surgical; Meso Scale Diagnostics; World Health Organization; International Association for the Study of Lung Cancer; Roche","keywords":"Mesothelioma; Medicine; BAP1; CDKN2A; Pathology; Radiology; Oncology; Internal medicine; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110412,0.0004499206,0.0004191813,0.001146509,0.0008900788,0.0008814574,0.0005102949,0.00048511,0.0007535542],"category_scores_gemma":[0.00118752,0.0003004393,0.0004940667,0.0007342814,0.0003132898,0.0005548764,0.001233025,0.0005292042,0.0003820307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896867,"about_ca_system_score_gemma":0.0005918806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368542,"about_ca_topic_score_gemma":0.01028623,"domain_scores_codex":[0.9995562,0.00007886699,0.00003583228,0.0001297787,0.0000836249,0.0001155614],"domain_scores_gemma":[0.9991574,0.00009184657,0.0001076059,0.000139355,0.0003428586,0.0001608464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004888536,0.000264544,0.9675645,0.0000517379,0.0001958045,0.001051985,0.0005476248,0.0005722974,0.0111834,0.00006626498,0.001840919,0.0161721],"study_design_scores_gemma":[0.00002245215,0.0002076399,0.991268,0.00002692378,0.0002157977,0.002005772,0.0009303692,0.001315104,0.001931266,0.00008445167,0.001973471,0.00001866047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978332,0.0002811707,0.0004690486,0.00006674773,0.000007560952,0.00003781666,0.0008848024,0.00001874054,0.0004008775],"genre_scores_gemma":[0.9965178,0.0001992977,0.0005820488,0.00007319688,0.00001000959,0.00002783122,0.002368402,0.00001285348,0.0002086172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004368542,"threshold_uncertainty_score":0.008686244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064631064240715,"score_gpt":0.3797295815886291,"score_spread":0.2732664751645576,"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."}}