{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006305135,0.00008653516,0.0004243095,0.0001038679,0.00001792782,0.000002551203,0.0000619591,0.0002075876,0.004313258],"category_scores_gemma":[0.0001131604,0.00006503871,0.00002753065,0.00002635738,0.0002076337,0.000006414699,0.00002651738,0.0001327504,0.00001668768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104231,"about_ca_system_score_gemma":0.0002331541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005494364,"about_ca_topic_score_gemma":0.0009560979,"domain_scores_codex":[0.9994978,0.0000153015,0.0001060953,0.0001461163,0.0001341484,0.0001005196],"domain_scores_gemma":[0.9994112,0.00003028904,0.0001803993,0.0002604946,0.00005280171,0.0000648236],"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":[0.00004700029,0.0001978023,0.2177426,0.0005541514,0.0002217032,0.000007556458,0.00002475082,1.409434e-9,0.0003484062,0.00004181469,0.7325097,0.04830445],"study_design_scores_gemma":[0.000568513,0.000116541,0.2805572,0.0009660737,0.0002822213,0.000003887662,0.000008911295,0.0001004389,0.00001446183,0.000009861737,0.7173187,0.00005320378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01752199,0.008575338,0.00001524027,0.002535452,0.0001031264,0.0009563325,0.001933539,0.00006645081,0.9682925],"genre_scores_gemma":[0.003887042,0.007305296,0.001907532,0.00004636595,0.0004181128,0.00006765866,0.0004367403,0.0000900567,0.9858412],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06281459,"threshold_uncertainty_score":0.9965969,"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."}}