{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2036438,0.001341318,0.005484099,0.002441946,0.003454581,0.01099959,0.006521724,0.04372604,0.006949335],"category_scores_gemma":[0.5284261,0.001460156,0.003917884,0.003782177,0.01879704,0.02143227,0.005045364,0.08661449,0.006567531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01028104,"about_ca_system_score_gemma":0.01465194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004238269,"about_ca_topic_score_gemma":0.006459522,"domain_scores_codex":[0.8206965,0.1333793,0.01632038,0.006001875,0.02195962,0.001642458],"domain_scores_gemma":[0.292141,0.6451531,0.01295326,0.01291697,0.02746533,0.009370339],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006210671,0.0001127376,0.002710559,0.0008780758,0.0002733266,0.0004058867,0.0004662229,0.000558098,0.0001274404,0.03110617,0.8207318,0.1420086],"study_design_scores_gemma":[0.001561724,0.0004868664,0.00323698,0.004121476,0.0003438427,0.001622032,0.0006811137,0.003933179,0.0004061324,0.4058576,0.5774423,0.0003067655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001108437,0.00285459,0.0009761644,0.9920809,0.003474425,0.00001779157,0.00004600664,0.00002336545,0.0004158755],"genre_scores_gemma":[0.00380468,0.005684261,0.006422793,0.9183738,0.06466505,0.0002156064,0.00006000573,0.0000793345,0.0006943721],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7963562,"threshold_uncertainty_score":0.982049,"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."}}