{"id":"W3011014312","doi":"10.1016/j.path.2020.01.002","title":"Unsupervised Machine Learning in Pathology","year":2020,"lang":"en","type":"review","venue":"Surgical pathology clinics","topic":"AI in cancer detection","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Brain Tumour Charity; Princess Margaret Cancer Foundation","keywords":"Workflow; Artificial intelligence; Computer science; Unsupervised learning; Deep learning; Machine learning; Pathology; Data science; Medicine; Database","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":[0.001610206,0.0008379171,0.001479312,0.002320302,0.0002555935,0.00151096,0.001301419,0.00149812,0.004389108],"category_scores_gemma":[0.004089847,0.0004562035,0.0007686371,0.003182034,0.001278728,0.002038891,0.001071684,0.002115136,0.002182742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008420379,"about_ca_system_score_gemma":0.001899532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736793,"about_ca_topic_score_gemma":0.002537367,"domain_scores_codex":[0.9994348,0.0001613434,0.00006233781,0.0001231489,0.0001834,0.00003501703],"domain_scores_gemma":[0.9973232,0.001971832,0.0001805082,0.00009265935,0.0003644669,0.0000673606],"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":[0.0000348671,0.00007562177,0.0003276059,0.01135444,0.0001341599,0.0000527764,0.00003257713,0.001081357,0.0004028204,0.005819015,0.02752685,0.9531578],"study_design_scores_gemma":[0.00004377533,0.0001699124,0.00353344,0.011718,0.0002987114,0.001291156,0.00007361548,0.003463564,0.001433733,0.02131727,0.9565718,0.00008517649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001722685,0.9956635,0.001986055,0.000580224,0.0003377701,0.000008244327,0.0000313015,0.00002262653,0.001198163],"genre_scores_gemma":[0.002842577,0.9923804,0.001909629,0.0006259141,0.001000986,0.00001474248,0.0001025628,0.00001140992,0.001111842],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004389108,"threshold_uncertainty_score":0.01468301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06632603134284286,"score_gpt":0.3633848483618555,"score_spread":0.2970588170190126,"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."}}