{"id":"W3025024871","doi":"10.1002/sim.8555","title":"One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods","year":2020,"lang":"en","type":"review","venue":"Statistics in Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Medical Research Council; National Institute for Health and Care Research","keywords":"Restricted maximum likelihood; Statistics; Random effects model; Meta-analysis; Confidence interval; Mathematics; Estimation; Mixed model; Maximum likelihood; Variance (accounting); Covariate; Standard error; Binary number; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06322819,0.0005615185,0.02706009,0.001064468,0.0001028477,0.0001853245,0.001094737,0.0001418111,0.0004509594],"category_scores_gemma":[0.03527312,0.0002667315,0.001084747,0.001610468,0.0002412088,0.000134265,0.0003372801,0.000197322,0.00000497983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568966,"about_ca_system_score_gemma":0.0001506699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009015322,"about_ca_topic_score_gemma":0.0001414301,"domain_scores_codex":[0.974801,0.009271599,0.01237663,0.001354616,0.001944419,0.0002517191],"domain_scores_gemma":[0.9515811,0.03752808,0.007659273,0.00263615,0.0003805521,0.0002148422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00000467523,0.0001126731,0.00009664629,0.005937419,0.1378971,0.000005399063,0.002152054,0.0009870129,1.374495e-7,0.01538903,0.001297207,0.8361206],"study_design_scores_gemma":[0.0002283085,0.0002074892,0.00002520516,0.0003462386,0.5160398,0.000001160167,0.0006557805,0.4180992,2.797439e-8,0.003681292,0.06056014,0.0001554197],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.630821e-7,0.5113975,0.4831516,0.00009653645,0.00003916615,0.001189186,0.004103861,0.000001987441,0.00001949197],"genre_scores_gemma":[0.0001036496,0.5253285,0.4726246,0.00001835784,0.00001615767,0.0001974335,0.001525449,0.00001470903,0.0001711288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8359652,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9611799200684782,"score_gpt":0.7025338956772175,"score_spread":0.2586460243912607,"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."}}