{"id":"W2082209076","doi":"10.1016/j.jclinepi.2012.07.012","title":"Calculating additive treatment effects from multiple randomized trials provides useful estimates of combination therapies","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Randomized controlled trial; Pairwise comparison; Medicine; Meta-analysis; Additive function; Treatment effect; Clinical trial; Intensive care medicine; Econometrics; Statistics; Internal medicine; Mathematics; Traditional medicine","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05778084,0.0002623033,0.008112618,0.0001059353,0.00004059426,0.000004967766,0.00017092,0.0003638201,0.00005804323],"category_scores_gemma":[0.7231308,0.0001446372,0.001443056,0.00006277375,0.00043521,0.0002849294,0.00004109464,0.0004048048,0.000002755252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455728,"about_ca_system_score_gemma":0.00007145807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000571859,"about_ca_topic_score_gemma":0.000005086033,"domain_scores_codex":[0.9719636,0.02022145,0.007138034,0.0001723269,0.000185643,0.0003189633],"domain_scores_gemma":[0.374947,0.6151208,0.009270358,0.000204949,0.0003038443,0.0001530973],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.06043917,0.002887453,0.6550752,0.0002173576,0.00492084,0.00001437658,0.001958019,0.00004580459,0.002147461,0.08227111,0.0009927584,0.1890305],"study_design_scores_gemma":[0.06450438,0.002408175,0.02399016,0.0004765062,0.000993768,0.00001093024,0.00007881873,0.001852011,0.01343745,0.8919546,0.0001197466,0.0001734341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7820112,0.001262318,0.214661,0.0004671697,0.000564401,0.0009157002,0.00001868618,0.00004526088,0.00005425519],"genre_scores_gemma":[0.7399899,0.0004850093,0.2589155,0.000111233,0.000420808,0.00004690365,0.000006950181,0.00001755808,0.00000613453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8096835,"threshold_uncertainty_score":0.9702129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6189721366302209,"score_gpt":0.5998256028561627,"score_spread":0.01914653377405817,"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."}}