{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004225683,0.0001248176,0.0003349021,0.00005138304,0.00007882703,0.000007231184,0.0002012509,0.00007302406,0.0001007407],"category_scores_gemma":[0.0002037675,0.00006819823,0.0001270794,0.0001190783,0.0002315356,0.00007004387,0.00007592111,0.0002822819,0.000001283639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093101,"about_ca_system_score_gemma":0.0001457682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001419103,"about_ca_topic_score_gemma":0.000003109061,"domain_scores_codex":[0.9976927,0.000674597,0.0004960501,0.0001653998,0.0008892834,0.00008198562],"domain_scores_gemma":[0.9987697,0.0001731801,0.0005588569,0.00009272767,0.0003284637,0.00007704785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01073739,0.01172005,0.4715665,0.0001619078,0.002205514,0.000250267,0.009193815,0.0140809,0.3960501,0.0001158051,0.0003952245,0.08352254],"study_design_scores_gemma":[0.004185316,0.001384807,0.9758513,0.00008140376,0.001011258,0.0004240908,0.003470804,0.01134011,0.001537825,0.0001003741,0.0005271399,0.00008559875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951836,0.001127636,0.0008238968,0.002110476,0.00008794008,0.0003452331,0.0001271869,0.000003895364,0.0001900771],"genre_scores_gemma":[0.9977059,0.00003427595,0.001410805,0.000696213,0.0000566331,0.00001034002,0.00007282191,0.00000738929,0.000005637393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5042847,"threshold_uncertainty_score":0.2781043,"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."}}