{"id":"W4297491134","doi":"10.5489/cuaj.8130","title":"Metastatic prostate cancer gets into the biomarker era","year":2022,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Prostate cancer; Biomarker; Medicine; Cancer; Prostate; Oncology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004172372,0.0006196818,0.001392291,0.001655485,0.001713425,0.004612503,0.0007901773,0.001970713,0.01957454],"category_scores_gemma":[0.009490535,0.0003135534,0.0006927906,0.00197033,0.002315062,0.006793245,0.00312644,0.004146002,0.004428265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673235,"about_ca_system_score_gemma":0.005322502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008282025,"about_ca_topic_score_gemma":0.01523542,"domain_scores_codex":[0.9984535,0.0003162227,0.00009501593,0.0002068186,0.000683677,0.0002447381],"domain_scores_gemma":[0.9940805,0.001316641,0.0006187004,0.000233955,0.001700374,0.002049793],"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":[0.0007391156,0.0001314122,0.02356771,0.001457665,0.0001368926,0.0008111839,0.0004982048,0.0003156925,0.003090358,0.03281504,0.3124967,0.6239401],"study_design_scores_gemma":[0.00006492691,0.0004267616,0.01631493,0.00149056,0.00009335487,0.00210854,0.0004742951,0.0002723946,0.0008964449,0.0207611,0.9570081,0.00008859676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02128066,0.3302195,0.004819449,0.5861045,0.01599701,0.0001074218,0.002074702,0.001066869,0.03832976],"genre_scores_gemma":[0.2638641,0.4137505,0.01204325,0.2403685,0.04376659,0.0001667489,0.002698761,0.0004589552,0.02288271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01957454,"threshold_uncertainty_score":0.06548339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702761862990504,"score_gpt":0.3011578023190412,"score_spread":0.2741301836891361,"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."}}