{"id":"W2061242309","doi":"10.4414/smw.2012.13518","title":"Meta-analyses: what they can and cannot do","year":2012,"lang":"en","type":"review","venue":"Swiss Medical Weekly","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Gottfried und Julia Bangerter-Rhyner-Stiftung","keywords":"Meta-analysis; Medicine; Pooling; Sample size determination; Systematic review; Psychological intervention; Study heterogeneity; MEDLINE; Critical appraisal; Statistics; Computer science; Alternative medicine; Artificial intelligence; Psychiatry; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"category_scores_codex":[0.2003004,0.001472499,0.0349127,0.0009639011,0.0002377712,0.003362374,0.005660742,0.0009820343,0.09859934],"category_scores_gemma":[0.0479908,0.0005231656,0.01510229,0.002013159,0.0003072435,0.0005180482,0.0008028675,0.001206136,0.007790555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009123671,"about_ca_system_score_gemma":0.0008782716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065063,"about_ca_topic_score_gemma":0.0005790789,"domain_scores_codex":[0.9274762,0.03027423,0.01980221,0.002490705,0.01906326,0.0008934282],"domain_scores_gemma":[0.9612337,0.01533937,0.01158848,0.008507279,0.0009469664,0.002384193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.096106e-7,0.00004247262,0.000007425932,0.002217179,0.01316297,0.00003184696,0.000207926,1.087692e-7,1.947884e-8,0.0007191728,0.03537927,0.9482311],"study_design_scores_gemma":[0.00006399197,0.00001982415,0.000003898792,0.001404825,0.09614071,0.0001360058,0.0003166127,0.0000149644,4.019028e-8,0.002168278,0.8992662,0.0004646307],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000196839,0.9901936,0.0003035621,0.003367509,0.001143332,0.001313277,0.00008154038,0.00001254923,0.003582684],"genre_scores_gemma":[0.0001173915,0.9756622,0.0003975676,0.0008192993,0.0007143046,0.0002746145,0.00006463163,0.00006530138,0.02188466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9477665,"threshold_uncertainty_score":0.9998025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9370932499517179,"score_gpt":0.629748726028944,"score_spread":0.3073445239227739,"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."}}