{"id":"W3132213428","doi":"10.1016/j.ajpath.2021.01.015","title":"Searching Images for Consensus","year":2021,"lang":"en","type":"review","venue":"American Journal Of Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto; University of Waterloo","funders":"Government of Ontario","keywords":"Medical diagnosis; Artificial intelligence; Computer science; Set (abstract data type); Data science; Scale (ratio); Medical imaging; Medical physics; Machine learning; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009596206,0.0002088787,0.001709636,0.0003337679,0.00007002807,0.0000635719,0.0008854706,0.00008083905,0.000004159248],"category_scores_gemma":[0.0003194327,0.0001713329,0.0006232771,0.0004750942,0.000278284,0.00007513868,0.000175793,0.0005919408,0.000005383573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539918,"about_ca_system_score_gemma":0.0009353531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003753724,"about_ca_topic_score_gemma":4.966482e-7,"domain_scores_codex":[0.9977334,0.0007615512,0.0007178084,0.0003048943,0.0001899423,0.0002924647],"domain_scores_gemma":[0.9963433,0.001103486,0.001740976,0.000398179,0.000313521,0.0001005304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002107457,0.00001039079,3.16624e-7,0.0003479508,0.00006892133,0.0007401491,0.00006161932,0.000003974646,0.000004015564,0.0005114526,0.000682862,0.9975662],"study_design_scores_gemma":[0.0001156345,0.0008540093,9.212205e-7,0.001676348,0.00016144,0.0246245,0.00004835338,0.00002515273,0.00000895973,0.0004256659,0.9718798,0.0001792608],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003587752,0.7147362,0.2840639,0.0001787891,0.0008177867,0.000106533,0.000006355112,0.00001313169,0.00007366229],"genre_scores_gemma":[0.00001515533,0.8507355,0.1486945,0.00009574894,0.0003866801,0.00001283998,0.00000110452,0.00002245288,0.0000360345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.997387,"threshold_uncertainty_score":0.6986755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363432350215195,"score_gpt":0.391137439606553,"score_spread":0.337503116104401,"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."}}