{"id":"W6902365284","doi":"10.6084/m9.figshare.7070933.v1","title":"Additional file 2: of The Terry Fox Research Institute Canadian Prostate Cancer Biomarker Network: an analysis of a pan-Canadian multi-center cohort for biomarker validation","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Biomarker; Cohort; Cohort study; Cancer; Table (database); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002562664,0.0008277439,0.001183903,0.003111034,0.001541262,0.001861266,0.002105267,0.0008795954,0.7097365],"category_scores_gemma":[0.04901413,0.0005906921,0.001076765,0.005055319,0.0003819928,0.001302587,0.001081268,0.0008307461,0.07270647],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003558361,"about_ca_system_score_gemma":0.006451268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1650296,"about_ca_topic_score_gemma":0.2143785,"domain_scores_codex":[0.9987448,0.0001460456,0.0002098101,0.000321558,0.0003678273,0.0002099183],"domain_scores_gemma":[0.9754205,0.01304622,0.00150049,0.002261239,0.006598876,0.001172677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003052835,0.00003627927,0.009529552,0.001190598,0.00008155809,0.00006174561,0.000056961,0.0003678308,0.00008007181,0.0004417903,0.9796993,0.0081491],"study_design_scores_gemma":[0.004929778,0.0002182407,0.1691522,0.00443281,0.0006191744,0.001021801,0.0007747164,0.002763086,0.001358703,0.006912163,0.8075038,0.0003134958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002304599,0.00001428801,0.0001723619,0.00008413797,0.00001464967,0.0000685148,0.9986165,0.00009650514,0.0007026434],"genre_scores_gemma":[0.01389669,0.000160077,0.003090912,0.0006289386,0.00009726788,0.001847757,0.969166,0.0005248048,0.01058752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964417,"threshold_uncertainty_score":0.4140257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388456479432293,"score_gpt":0.3721612387051232,"score_spread":0.2333155907618939,"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."}}