{"id":"W1725912200","doi":"10.1002/0471463736.tnmp02","title":"Prognostic Factors: Principles and Applications","year":2003,"lang":"en","type":"other","venue":"TNM Online","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Popularity; Identification (biology); Disease; Medicine; Population; Intensive care medicine; Computer science; Psychology; Pathology; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.00001807279,0.000168173,0.0001377439,0.00003986127,0.0000237594,0.00001526285,0.00009254265,0.0002109083,0.0003835134],"category_scores_gemma":[0.00006797483,0.0001592666,0.00003622641,0.000034351,0.00005649316,2.890854e-7,0.00007011677,0.00006477853,0.00001290392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006823077,"about_ca_system_score_gemma":0.00007959436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002455472,"about_ca_topic_score_gemma":0.000365417,"domain_scores_codex":[0.9994124,0.000009143106,0.0001084539,0.0002888883,0.00004925338,0.0001318651],"domain_scores_gemma":[0.9995114,0.00001462679,0.00008682633,0.00029567,0.00001991482,0.00007155834],"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":[0.000008618823,0.0003060373,0.005617335,0.0001764023,0.0001747113,0.000002834362,0.00001299998,0.000005025825,0.002336326,0.001048792,0.9839156,0.006395366],"study_design_scores_gemma":[0.0001297242,0.00005226257,0.0005541965,0.00002598608,0.00003382664,0.000003381775,0.000009683567,0.000003204359,0.0001984321,0.00002705453,0.9987767,0.0001855162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01619869,0.0649722,0.009390942,0.0003404951,0.0008938091,0.004796474,0.05558013,0.00028026,0.847547],"genre_scores_gemma":[0.00276675,0.01128085,0.005755527,0.0005437347,0.002640679,0.0002476127,0.02237709,0.000685185,0.9537026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1061556,"threshold_uncertainty_score":0.6494702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490496530207537,"score_gpt":0.2603708000990606,"score_spread":0.2454658347969852,"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."}}