{"id":"W4206047188","doi":"10.21203/rs.3.rs-139437/v1","title":"Canons and Sparrows II*: The Enhanced Bernoulli Exact Method for Determining Statistical Significance and Effect Size in the Meta-Analysis of k 2 x 2 Tables","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Type I and type II errors; Contingency table; Meta-analysis; Statistics; Sample size determination; Homogeneity (statistics); Mathematics; Categorical variable; Nominal level; Parametric statistics; Statistical hypothesis testing; Study heterogeneity; Bernoulli's principle; Homogeneous; Applied mathematics; Algorithm; Confidence interval; Combinatorics","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":[],"category_scores_codex":[0.1520265,0.002663564,0.007950339,0.01118712,0.001337192,0.0047331,0.005876103,0.004488404,0.02711995],"category_scores_gemma":[0.5117367,0.002534855,0.01188625,0.01214037,0.003489317,0.003904436,0.003606143,0.007160632,0.003097219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596202,"about_ca_system_score_gemma":0.007002124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003032892,"about_ca_topic_score_gemma":0.00354087,"domain_scores_codex":[0.6922978,0.2639834,0.01208092,0.01009384,0.02064862,0.0008954877],"domain_scores_gemma":[0.4646609,0.4851744,0.01082397,0.0281695,0.01018911,0.000982111],"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":[0.004804077,0.0003417938,0.007563397,0.0267003,0.03077453,0.0009559698,0.0009509515,0.04111201,0.002053177,0.09904056,0.05142976,0.7342735],"study_design_scores_gemma":[0.008270589,0.004278832,0.01559401,0.01976628,0.027279,0.002364142,0.0004128194,0.3338802,0.00645748,0.4162459,0.164202,0.001248671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00235211,0.01002891,0.9745788,0.001528584,0.001683226,0.004988241,0.001923857,0.001190104,0.001726224],"genre_scores_gemma":[0.03604532,0.002690712,0.9447905,0.0008252786,0.0004706459,0.01229128,0.0007406673,0.0003885194,0.001757148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8479735,"threshold_uncertainty_score":0.8040024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7492200009558718,"score_gpt":0.6255213297183154,"score_spread":0.1236986712375564,"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."}}