{"id":"W2794152261","doi":"10.1200/jco.2018.36.6_suppl.5","title":"Hypoxia related mRNA biomarker to predict biochemical failure and metastasis for prostate cancer.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Occupational Cancer Research Centre; Genome British Columbia","funders":"","keywords":"Prostate cancer; Medicine; Prostatectomy; Radiation therapy; Biochemical recurrence; Oncology; Hypoxia (environmental); DU145; Internal medicine; Metastasis; LNCaP; Cancer","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":[0.0004163107,0.0003348326,0.0003598426,0.0007372561,0.0002071405,0.0004485278,0.0002535257,0.0004234936,0.002481712],"category_scores_gemma":[0.0006934382,0.0001404729,0.0003124925,0.0007085365,0.0001360947,0.0001788217,0.0002136206,0.0003850466,0.0005284172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847699,"about_ca_system_score_gemma":0.0004306183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815545,"about_ca_topic_score_gemma":0.003609563,"domain_scores_codex":[0.9998294,0.00003004271,0.00001337914,0.00004644196,0.0000558072,0.0000249664],"domain_scores_gemma":[0.9996089,0.00007483982,0.0001403265,0.00001433602,0.00008070327,0.00008086405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001327608,0.0002652392,0.906404,0.0005081656,0.0003746038,0.000189507,0.0000666183,0.001973053,0.04985846,0.0001534706,0.003569185,0.03531003],"study_design_scores_gemma":[0.00003662557,0.001099066,0.9643465,0.00006530004,0.000363212,0.0009799114,0.0001093846,0.008137461,0.02030549,0.0003289318,0.004197149,0.00003101342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700596,0.01238007,0.005240018,0.0005477327,0.0001399654,0.0002022738,0.008374391,0.000256688,0.00279929],"genre_scores_gemma":[0.9885151,0.001091165,0.004073025,0.000188446,0.00005955924,0.00009251357,0.004597357,0.0000135123,0.001369465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481712,"threshold_uncertainty_score":0.008302093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698471439548915,"score_gpt":0.4046539787678696,"score_spread":0.3576692643723804,"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."}}