{"id":"W2057648481","doi":"10.1002/cncr.29084","title":"Assessing benefit in trials: Are we making progress in assessing progression in cancer clinical trials?","year":2014,"lang":"en","type":"letter","venue":"Cancer","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Ontario Institute for Cancer Research","funders":"National Institutes of Health","keywords":"Medicine; Clinical trial; Intensive care medicine; Endpoint Determination; Cancer; Medical physics; Internal medicine","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","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1075751,0.001183887,0.01073995,0.0009799912,0.0001046048,0.0008955766,0.001138643,0.004573826,0.0008023395],"category_scores_gemma":[0.2722548,0.0009407506,0.001064635,0.001230146,0.0005375022,0.0004952609,0.0003987379,0.008923591,0.000009797439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650534,"about_ca_system_score_gemma":0.001157056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009940428,"about_ca_topic_score_gemma":0.0006083323,"domain_scores_codex":[0.9375495,0.04102487,0.01500301,0.002673959,0.001831113,0.001917509],"domain_scores_gemma":[0.7679062,0.2218529,0.008575731,0.00119033,0.0002915908,0.0001832183],"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":[0.0004403565,0.0004839921,0.0845291,0.003710229,0.0001878726,0.001032539,0.000153837,0.00002542323,0.000004687623,0.0003579294,0.107324,0.80175],"study_design_scores_gemma":[0.02117696,0.0002622394,0.02639133,0.198182,0.001575892,0.00001372147,0.0003481109,0.004514292,0.00009019912,0.5729477,0.1705433,0.003954167],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0237287,0.04060535,0.02124462,0.8559695,0.03718083,0.01834786,0.0007577661,0.0006709324,0.001494384],"genre_scores_gemma":[0.01520155,0.006499289,0.7360259,0.1628382,0.06524027,0.01249119,0.00006760825,0.001233493,0.000402574],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7977958,"threshold_uncertainty_score":0.9993043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9052111927268044,"score_gpt":0.7439559206187487,"score_spread":0.1612552721080557,"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."}}