{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808028,0.0009993465,0.001619176,0.009563757,0.0006651322,0.001643019,0.001572745,0.001638592,0.03199023],"category_scores_gemma":[0.008912597,0.0004359481,0.001363592,0.003742621,0.0007003336,0.002607212,0.001272597,0.001245302,0.01287172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008945973,"about_ca_system_score_gemma":0.002213615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330105,"about_ca_topic_score_gemma":0.004855053,"domain_scores_codex":[0.998963,0.0002201659,0.0001612342,0.0002132546,0.0003745934,0.00006768919],"domain_scores_gemma":[0.9976597,0.001056365,0.0002503817,0.0001663444,0.0007671965,0.0001000195],"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":[0.0000522295,0.00002448874,0.0001638317,0.005849664,0.00009468145,0.00006223648,0.00002882267,0.00005947999,0.000520973,0.001001267,0.07574029,0.9164022],"study_design_scores_gemma":[0.000100007,0.0001551123,0.00184968,0.01354785,0.0005969549,0.003777917,0.000191069,0.0007087433,0.003023823,0.008071166,0.9679179,0.00005972718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001414659,0.9450381,0.01859415,0.006571588,0.003506793,0.0004415636,0.0008446611,0.0007469284,0.02284148],"genre_scores_gemma":[0.01745772,0.8996199,0.04448447,0.008346842,0.003562107,0.0005311035,0.003448925,0.0002373743,0.02231167],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03199023,"threshold_uncertainty_score":0.107018,"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."}}