{"id":"W3200920720","doi":"10.1186/s12874-021-01381-z","title":"Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence","year":2021,"lang":"en","type":"review","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":724,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Meta-analysis; Pairwise comparison; Systematic review; Computer science; Data science; Management science; Psychology; MEDLINE; Medicine; Artificial intelligence; Engineering; Political science","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":[0.5024694,0.007792366,0.01689861,0.04196279,0.004044292,0.01742786,0.01163875,0.01189317,0.02256932],"category_scores_gemma":[0.6816752,0.008875323,0.0270759,0.03251222,0.009095002,0.01454993,0.01159427,0.02135604,0.01197647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009710141,"about_ca_system_score_gemma":0.05832542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004117354,"about_ca_topic_score_gemma":0.006618217,"domain_scores_codex":[0.4050991,0.4459381,0.1118135,0.01026144,0.02576117,0.001126611],"domain_scores_gemma":[0.2296447,0.613176,0.0391257,0.04243362,0.07207943,0.003540434],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008049848,0.0002149098,0.001044019,0.2790769,0.008516921,0.0005120849,0.01199288,0.003266389,0.001888903,0.06026445,0.1552013,0.4772162],"study_design_scores_gemma":[0.002824786,0.0005501947,0.001379436,0.2764634,0.01104665,0.0008905706,0.002322566,0.00792864,0.002880068,0.263532,0.4292518,0.0009298456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0007004232,0.1011469,0.7510301,0.04469261,0.01075301,0.07621604,0.007044826,0.003746901,0.004669114],"genre_scores_gemma":[0.001236602,0.0163129,0.9298281,0.001862976,0.0006260273,0.04874499,0.0005169481,0.0003203207,0.0005511539],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4975306,"threshold_uncertainty_score":0.6135439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9978106427928172,"score_gpt":0.7994635274499049,"score_spread":0.1983471153429123,"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."}}