{"id":"W2090207626","doi":"10.1111/j.1365-3016.2007.00908.x","title":"Exploring heterogeneity in meta‐analyses: needs, resources and challenges","year":2008,"lang":"en","type":"review","venue":"Paediatric and Perinatal Epidemiology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Study heterogeneity; Medicine; Meta-analysis; Spatial heterogeneity; Genetic heterogeneity; Statistical hypothesis testing; Statistics; Pathology; Ecology; Biology","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":[0.4298991,0.004173703,0.0287297,0.01584582,0.001936966,0.01136588,0.008793998,0.007318772,0.006000521],"category_scores_gemma":[0.7452188,0.0047896,0.01984816,0.01973042,0.005084821,0.01611395,0.007411888,0.009168613,0.001119015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005859644,"about_ca_system_score_gemma":0.01856632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043787,"about_ca_topic_score_gemma":0.020022,"domain_scores_codex":[0.4781266,0.4437377,0.05066941,0.006710909,0.01974456,0.001010951],"domain_scores_gemma":[0.1029448,0.85792,0.01191578,0.01119797,0.01509095,0.0009305175],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001294246,0.0001730552,0.008892484,0.2343847,0.05160698,0.001491067,0.002683592,0.005960239,0.0005195155,0.02747519,0.03204085,0.6334781],"study_design_scores_gemma":[0.003738257,0.001584371,0.01577827,0.364229,0.08975168,0.003727915,0.006584062,0.03091277,0.001315758,0.3671148,0.1138783,0.001384796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003725994,0.6815825,0.1671889,0.1343518,0.003801222,0.002572027,0.001782941,0.0008094709,0.004185089],"genre_scores_gemma":[0.1300967,0.3634768,0.4635369,0.02130364,0.00826173,0.01050237,0.001234964,0.0006630628,0.0009238335],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5701009,"threshold_uncertainty_score":0.7030359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6255478735946859,"score_gpt":0.4307200833595682,"score_spread":0.1948277902351177,"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."}}