{"id":"W4291020878","doi":"10.1016/j.ccell.2022.06.004","title":"Human and machine: Better at pathology together?","year":2022,"lang":"en","type":"letter","venue":"Cancer Cell","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Computer science; Histopathology; Cancer; Big data; Pathology; Computational biology; Artificial intelligence; Data science; Bioinformatics; Medicine; Biology; Data mining; Internal medicine","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":[0.011768,0.001290361,0.002396796,0.001694364,0.008268227,0.009834303,0.002661081,0.09595062,0.01411294],"category_scores_gemma":[0.04522286,0.001409442,0.001490805,0.001169188,0.01266157,0.01451142,0.0052773,0.08038658,0.01160791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0076689,"about_ca_system_score_gemma":0.00910705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246843,"about_ca_topic_score_gemma":0.02715777,"domain_scores_codex":[0.9880994,0.004419184,0.0010833,0.001389055,0.003631033,0.001378046],"domain_scores_gemma":[0.9685566,0.0178702,0.001279244,0.001134868,0.004965625,0.00619349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000330793,0.00003495743,0.000522695,0.00003790546,0.00001638628,0.0006049949,0.0001458528,0.00003010064,0.00008220533,0.005839671,0.9801588,0.01249335],"study_design_scores_gemma":[0.0001120295,0.00005652943,0.0008128637,0.0002988668,0.00002922604,0.002201332,0.0009516336,0.0005541901,0.0001309583,0.06302609,0.9317331,0.00009319977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006901848,0.0008112449,0.0001093135,0.9935394,0.004358215,0.000003536195,0.00000904824,0.000008923205,0.001091401],"genre_scores_gemma":[0.001732346,0.001168964,0.0003830933,0.9587606,0.03159721,0.00002471412,0.00001158097,0.00002074157,0.006300833],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09595062,"threshold_uncertainty_score":0.06223589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494525181800219,"score_gpt":0.2844757969349722,"score_spread":0.2695305451169699,"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."}}