{"id":"W2235405584","doi":"10.1056/nejmoa1506859","title":"DNA-Repair Defects and Olaparib in Metastatic Prostate Cancer","year":2015,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":2187,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Stand Up To Cancer; Genentech; European Society for Medical Oncology; Cilag; Astellas Pharma; National Institute for Health and Care Research; Sanofi; Public Health Agency; Prostate Cancer UK; GlaxoSmithKline; Les Laboratories Pierre Fabre; Medical Research Council; Celgene; Bristol-Myers Squibb; Prostate Cancer Foundation; American Association for Cancer Research; AstraZeneca; Royal Marsden NHS Foundation Trust; Pfizer; Oncolytics Biotech; Cancer Research UK","keywords":"Olaparib; Poly ADP ribose polymerase; Prostate cancer; DNA repair; Polymerase; Cancer research; PARP inhibitor; Medicine; Internal medicine; Oncology; Prostate; DNA; Cancer; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115077,0.0002617275,0.0006508603,0.0002464597,0.0001828796,0.0003547778,0.0003662251,0.0004177514,0.001258374],"category_scores_gemma":[0.001216681,0.0001163224,0.0002955032,0.0003010033,0.0003564327,0.0002149988,0.000289033,0.0007581352,0.0001380849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599585,"about_ca_system_score_gemma":0.0006323559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004742823,"about_ca_topic_score_gemma":0.0007569831,"domain_scores_codex":[0.9996699,0.0001466165,0.00001991476,0.00005155339,0.00007208397,0.00003993517],"domain_scores_gemma":[0.9991604,0.0003087843,0.0002422026,0.00003074671,0.00006045066,0.00019742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1041251,0.006651539,0.3571957,0.002815306,0.001382614,0.005261814,0.0004643727,0.02107416,0.2147913,0.002046161,0.006162759,0.2780292],"study_design_scores_gemma":[0.02124739,0.1398457,0.6455241,0.0005934068,0.00167441,0.02520425,0.0004290554,0.02572923,0.1094951,0.005304252,0.02480874,0.0001443787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987715,0.009688426,0.0004165798,0.0006473621,0.00002823741,0.00009816185,0.0002017776,0.00002167837,0.001182746],"genre_scores_gemma":[0.9978493,0.001282455,0.0002438005,0.0001964905,0.00003208041,0.00004893685,0.0001954133,0.000003283189,0.000148215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258374,"threshold_uncertainty_score":0.006085932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05424186371494471,"score_gpt":0.3566528702221747,"score_spread":0.30241100650723,"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."}}