{"id":"W2119605658","doi":"10.1136/bmj.d4002","title":"Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials","year":2011,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":7394,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Medical Research Council; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Cancer Research UK","keywords":"Funnel plot; Funnel; Asymmetry; Publication bias; Meta-analysis; Plot (graphics); Forest plot; Econometrics; Statistics; Mathematics; Confidence interval; Environmental science; Medicine; Physics; Particle physics","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":["metaresearch"],"category_scores_codex":[0.424649,0.006472796,0.009708697,0.02838385,0.003203161,0.01021653,0.01816081,0.02412271,0.01421115],"category_scores_gemma":[0.8426597,0.007931579,0.02646696,0.02658333,0.00815508,0.01475359,0.006352978,0.03409017,0.009639964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008564981,"about_ca_system_score_gemma":0.0294643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289906,"about_ca_topic_score_gemma":0.01725614,"domain_scores_codex":[0.4368882,0.3773372,0.1202919,0.005681261,0.05761492,0.002186471],"domain_scores_gemma":[0.120435,0.6246922,0.04392609,0.01912797,0.1883139,0.003504878],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001892615,0.0006453724,0.003246094,0.08117603,0.007567061,0.001164956,0.004699821,0.006479681,0.001372118,0.0209481,0.4574243,0.4133839],"study_design_scores_gemma":[0.01079789,0.001186742,0.01011881,0.3944499,0.02341329,0.00238457,0.00362311,0.02402745,0.006880404,0.1775115,0.3431083,0.002498064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002971917,0.09197456,0.5431212,0.245768,0.04341273,0.0366998,0.008874866,0.008249965,0.0189271],"genre_scores_gemma":[0.005943645,0.0138337,0.9422038,0.01705883,0.002073741,0.01494487,0.0009897907,0.0007170624,0.002234593],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.575351,"threshold_uncertainty_score":0.7095102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9574543018437567,"score_gpt":0.6272209161953044,"score_spread":0.3302333856484523,"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."}}