{"id":"W2066104795","doi":"10.1037/a0029946","title":"Bootstrap confidence intervals for the mean correlation corrected for Case IV range restriction: A more adequate procedure for meta-analysis.","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Psychology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Confidence interval; Statistics; Percentile; Nonparametric statistics; Robust confidence intervals; CDF-based nonparametric confidence interval; Correlation; Range (aeronautics); Mathematics; Monte Carlo method; Meta-analysis; Medicine","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":[0.2606744,0.002230459,0.00673135,0.008424259,0.00128437,0.004146704,0.005251354,0.003591488,0.004171506],"category_scores_gemma":[0.6536596,0.001367086,0.01517185,0.01092435,0.002702806,0.004634359,0.003092559,0.007769089,0.0007607358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534992,"about_ca_system_score_gemma":0.002812668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174136,"about_ca_topic_score_gemma":0.001460127,"domain_scores_codex":[0.6384951,0.2999401,0.02068453,0.01813908,0.02182493,0.0009162793],"domain_scores_gemma":[0.4154155,0.482501,0.02240894,0.06441274,0.01463436,0.0006275825],"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":[0.005430692,0.0004113249,0.03077513,0.036512,0.192978,0.001278343,0.0028828,0.03257536,0.003730425,0.1354232,0.02715071,0.530852],"study_design_scores_gemma":[0.005982522,0.00541976,0.05863681,0.01802352,0.1005812,0.00386861,0.00124445,0.1857867,0.01784349,0.4598147,0.1411218,0.001676452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00705414,0.01629202,0.96671,0.0009119051,0.001447576,0.002185192,0.001786679,0.001404934,0.002207489],"genre_scores_gemma":[0.2793168,0.002903373,0.7003101,0.0016559,0.0006416273,0.01195916,0.001778423,0.0006704378,0.0007642029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7393256,"threshold_uncertainty_score":0.9117201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7955223045986451,"score_gpt":0.574295076767126,"score_spread":0.2212272278315192,"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."}}