{"id":"W4213325738","doi":"10.1200/jco.2022.40.6_suppl.142","title":"Blood biomarkers and association with clinical outcomes in metastatic castration-resistant prostate cancer (mCRPC): prespecified longitudinal analysis from the ACIS study of apalutamide (APA) or placebo combined with abiraterone acetate plus prednisone (AAP).","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Janssen Research and Development","keywords":"Medicine; Abiraterone acetate; Prostate cancer; Oncology; Enzalutamide; Internal medicine; Androgen receptor; Proportional hazards model; Biomarker; Univariate analysis; Abiraterone; Population; Log-rank test; Cancer; Multivariate analysis; Androgen deprivation therapy; Biology","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":[0.0009801633,0.0002424366,0.0003585852,0.000444456,0.0001651665,0.0003639679,0.0002512019,0.0002850567,0.001033564],"category_scores_gemma":[0.001240264,0.0001795412,0.000416785,0.0005928433,0.0001218922,0.0001939489,0.0002315195,0.0004038161,0.0001322624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301022,"about_ca_system_score_gemma":0.0003029076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252098,"about_ca_topic_score_gemma":0.00161649,"domain_scores_codex":[0.99967,0.0001210972,0.00003323564,0.00006875789,0.00007194895,0.00003487256],"domain_scores_gemma":[0.998892,0.0001966345,0.0004681022,0.00008489621,0.0001055908,0.0002527632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007408744,0.0001932359,0.9835719,0.00004516784,0.0005583284,0.00005252153,0.00003695714,0.00009412081,0.002264055,0.00001282036,0.0001480371,0.005614151],"study_design_scores_gemma":[0.000164983,0.001514263,0.9972032,0.00000436146,0.0002144671,0.0001343375,0.00001676266,0.000150565,0.0003352168,0.00001089743,0.0002474191,0.000003594989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982723,0.0008592022,0.00009433791,0.00002423937,0.000003726599,0.00001284687,0.000581089,0.000004983427,0.0001472362],"genre_scores_gemma":[0.998818,0.0001580535,0.00007472464,0.00001978611,0.000008434467,0.00001406213,0.0008122787,0.000001553852,0.00009299321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252098,"threshold_uncertainty_score":0.005183697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469827745264745,"score_gpt":0.4600745671581061,"score_spread":0.3130917926316316,"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."}}