{"id":"W3132836732","doi":"10.1002/cam4.3732","title":"Does biomarker use in oncology improve clinical trial failure risk? A large‐scale analysis","year":2021,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Cancer Care Ontario; St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Oncology; Clinical trial; Biomarker; Internal medicine; Hazard ratio; Breast cancer; Lung cancer; Cancer; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01049546,0.0002660372,0.002369066,0.0002056438,0.00005840054,0.00002052038,0.000271554,0.0005535231,0.004280738],"category_scores_gemma":[0.2629776,0.0001504305,0.0004529827,0.001490919,0.0004644684,0.00006680386,0.0001700716,0.0009179286,0.00001288062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918802,"about_ca_system_score_gemma":0.000393199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000252346,"about_ca_topic_score_gemma":0.009465588,"domain_scores_codex":[0.9915363,0.004061134,0.002520458,0.0008862027,0.0004860639,0.0005098576],"domain_scores_gemma":[0.9144927,0.08340085,0.0006993047,0.0008579872,0.0002341037,0.000315088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.06472857,0.007185416,0.3772899,0.0005284133,0.01182846,0.001943255,0.003371002,0.000008142716,0.001305663,0.01034923,0.1182543,0.4032077],"study_design_scores_gemma":[0.2389943,0.002405344,0.05022257,0.0005327248,0.01448233,0.000005035676,0.002500604,0.003093861,0.0004736846,0.5563391,0.1299842,0.000966138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7681579,0.0007584293,0.1800915,0.02540892,0.02039875,0.002477757,0.001194703,0.0002185664,0.001293482],"genre_scores_gemma":[0.1092986,0.002953258,0.8689675,0.004452101,0.009906569,0.0006548184,0.00004734176,0.0001259957,0.003593884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.688876,"threshold_uncertainty_score":0.9966295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5516949384392401,"score_gpt":0.6380658190628812,"score_spread":0.08637088062364107,"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."}}