{"id":"W4386582504","doi":"10.1093/aje/kwad184","title":"Evidence Synthesis for Complex Interventions Using Meta-Regression Models","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; Ottawa Hospital; University of Ottawa","funders":"Temerty Faculty of Medicine, University of Toronto; Canadian Institutes of Health Research; University of Toronto; University of Ottawa; Harvard T.H. Chan School of Public Health; University of Aberdeen; Brown University; University of Alberta; Women's College Hospital; Ottawa Hospital Research Institute","keywords":"Psychological intervention; Meta-analysis; Outcome (game theory); Medicine; Intervention (counseling); Meta-regression; Clinical study design; Regression analysis; Regression; Aggregate (composite); Computer science; Clinical trial; Psychology; Machine learning; Mathematics; Psychotherapist","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1825038,0.0064353,0.01645921,0.01670661,0.0006765937,0.006441699,0.006123068,0.003594639,0.01078902],"category_scores_gemma":[0.3819148,0.002749304,0.04352304,0.01269906,0.0010336,0.005672323,0.004902448,0.006321034,0.001553648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00419671,"about_ca_system_score_gemma":0.006739932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494306,"about_ca_topic_score_gemma":0.005255682,"domain_scores_codex":[0.7710776,0.1941614,0.01924689,0.006704952,0.008199167,0.0006100708],"domain_scores_gemma":[0.7647047,0.2076922,0.01103657,0.01116391,0.004967659,0.0004349336],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002609746,0.0001799733,0.003676157,0.2075956,0.4208737,0.0003200088,0.0005357057,0.1626306,0.0006600557,0.03117963,0.01517401,0.1545649],"study_design_scores_gemma":[0.004384465,0.001163482,0.002663944,0.05374752,0.4558919,0.0002080421,0.0003162649,0.1904771,0.002328059,0.2408917,0.04750153,0.0004259333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004716664,0.137525,0.8250751,0.00625936,0.002202493,0.01060125,0.008736972,0.002113376,0.002769751],"genre_scores_gemma":[0.1581213,0.07170788,0.7216169,0.003166416,0.001051528,0.03668367,0.004945218,0.0007985886,0.001908399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8174962,"threshold_uncertainty_score":0.9651841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9711261156176588,"score_gpt":0.6715943142306292,"score_spread":0.2995318013870296,"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."}}