{"id":"W2997463854","doi":"10.1002/9780471420194.tnmm03","title":"Prognosis and Classification of Cancer","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Terminology; Relevance (law); Rubric; Computer science; Checklist; Medicine; Categorization; Interdependence; Taxonomy (biology); Field (mathematics); Data science; Medical physics; Management science; Psychology; Artificial intelligence; Engineering; Political science","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":[0.003202322,0.0008579133,0.0005234044,0.00832445,0.0008690809,0.003255142,0.001250806,0.0007426423,0.01511525],"category_scores_gemma":[0.01328042,0.0001055952,0.0007135022,0.008184399,0.002077754,0.002445505,0.00216711,0.001740008,0.008553089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002415849,"about_ca_system_score_gemma":0.003466139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005971691,"about_ca_topic_score_gemma":0.005185719,"domain_scores_codex":[0.996525,0.001059197,0.000587415,0.0003057444,0.001146895,0.0003757491],"domain_scores_gemma":[0.9945556,0.001016541,0.001189039,0.0004119287,0.002370376,0.0004564717],"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":[0.0001475381,0.00002800421,0.03198852,0.001203442,0.00004858628,0.0002647679,0.001271727,0.001088606,0.0003662981,0.1624688,0.3969038,0.4042198],"study_design_scores_gemma":[0.00001617576,0.00008840542,0.02121366,0.002035928,0.00003688637,0.00186564,0.001125104,0.001025758,0.000229413,0.0656724,0.906651,0.00003954983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03168346,0.1364367,0.078992,0.06841796,0.02323409,0.001347956,0.06570124,0.002689057,0.5914976],"genre_scores_gemma":[0.4290496,0.1026005,0.1479885,0.01253465,0.007494925,0.002349793,0.1365333,0.001346007,0.1601027],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01511525,"threshold_uncertainty_score":0.05056548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.097382095618575,"score_gpt":0.450699527181777,"score_spread":0.3533174315632019,"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."}}