{"id":"W1784175517","doi":"10.1002/jrsm.1164","title":"Methods to estimate the between‐study variance and its uncertainty in meta‐analysis","year":2015,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":1615,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Medical Research Council; National Institute for Health and Care Research","keywords":"Meta-analysis; Variance (accounting); Econometrics; Computer science; Statistics; Statistical analysis; Mathematics; Economics","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":[0.3509915,0.005376315,0.01313194,0.01589341,0.001221895,0.006812999,0.009444609,0.006037813,0.01344403],"category_scores_gemma":[0.6185246,0.003615852,0.03216149,0.01544123,0.003323088,0.005344386,0.005294351,0.00919538,0.002768437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004337439,"about_ca_system_score_gemma":0.008287169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309985,"about_ca_topic_score_gemma":0.003291847,"domain_scores_codex":[0.5051486,0.4261133,0.03140952,0.0133669,0.02307132,0.0008903477],"domain_scores_gemma":[0.3815447,0.5626092,0.01851247,0.02797423,0.008883176,0.0004762436],"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":[0.002788883,0.000346485,0.007276537,0.13609,0.1430414,0.0005114874,0.001681971,0.04343243,0.0009421048,0.1062917,0.04391893,0.5136782],"study_design_scores_gemma":[0.006890984,0.001511773,0.008258365,0.06840856,0.09384274,0.001285976,0.0005062527,0.1181738,0.005030323,0.5250846,0.1695312,0.001475436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009265809,0.02730186,0.9518287,0.00149663,0.001400726,0.01173624,0.002724583,0.001323459,0.001261163],"genre_scores_gemma":[0.02649911,0.01032869,0.8926447,0.001382414,0.0005107188,0.06550863,0.001617437,0.0006652637,0.0008430692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6490085,"threshold_uncertainty_score":0.800343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9521150158924461,"score_gpt":0.7527147048590068,"score_spread":0.1994003110334392,"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."}}