{"id":"W3149010529","doi":"10.5964/meth.4495","title":"Analytic and bootstrap confidence intervals for the common-language effect size estimate","year":2021,"lang":"en","type":"article","venue":"Methodology","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Estimator; Confidence interval; Statistics; Parametric statistics; Type I and type II errors; Mathematics; Standard error; Econometrics; Computer science","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":[],"category_scores_codex":[0.1398988,0.001394793,0.002608082,0.008160204,0.0008310467,0.002667192,0.004397216,0.003408686,0.00866741],"category_scores_gemma":[0.5855771,0.0007421531,0.003195091,0.005956309,0.004196011,0.00468208,0.003770277,0.003927011,0.001025171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780957,"about_ca_system_score_gemma":0.00198678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280106,"about_ca_topic_score_gemma":0.00141465,"domain_scores_codex":[0.8677504,0.1050746,0.003997026,0.007640074,0.01466738,0.0008704742],"domain_scores_gemma":[0.3176037,0.6294321,0.01462052,0.02251872,0.01503573,0.0007892054],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002695567,0.0004906168,0.04446696,0.003903273,0.003551241,0.0008917234,0.002681139,0.1165116,0.002367559,0.4309354,0.02010229,0.3714028],"study_design_scores_gemma":[0.001211693,0.002132756,0.05800724,0.003816995,0.001983264,0.002478082,0.002041392,0.5443391,0.008203001,0.3370115,0.03815531,0.0006197636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03917097,0.003266852,0.9452249,0.0008384679,0.0003028841,0.001042898,0.001635948,0.00156047,0.006956541],"genre_scores_gemma":[0.4481381,0.00124109,0.5432196,0.0003672725,0.0001888745,0.003504608,0.002094647,0.0004165308,0.0008291249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8601012,"threshold_uncertainty_score":0.7398646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245221009472283,"score_gpt":0.4010031702919732,"score_spread":0.2764810693447449,"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."}}