{"id":"W2286774977","doi":"10.48550/arxiv.1010.0308","title":"The Impact of Levene's Test of Equality of Variances on Statistical Theory and Practice","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Levene's test; F-test of equality of variances; Econometrics; Statistics; Volatility (finance); Statistical hypothesis testing; Residual; Homogeneity (statistics); Mathematics; Economics; Computer science; Test statistic","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":[0.2484906,0.002030003,0.006419049,0.007918469,0.003612512,0.0105931,0.004987965,0.007495373,0.00405512],"category_scores_gemma":[0.5757087,0.001607023,0.002840571,0.008747824,0.03378078,0.01492142,0.009872083,0.01966878,0.001301779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00856277,"about_ca_system_score_gemma":0.008837246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00561661,"about_ca_topic_score_gemma":0.002209326,"domain_scores_codex":[0.6997091,0.2041815,0.01274913,0.02705542,0.05420607,0.002098697],"domain_scores_gemma":[0.203509,0.7600432,0.007044709,0.01680204,0.01153057,0.001070545],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002430923,0.00009109661,0.01030085,0.001022475,0.0009362539,0.0003930299,0.001847857,0.009982818,0.0004420199,0.7886449,0.01437737,0.1717182],"study_design_scores_gemma":[0.00006831186,0.0003156318,0.003895362,0.001125406,0.0001344545,0.0004280781,0.0005811081,0.01802326,0.0009493462,0.9292683,0.04497403,0.0002368014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01099155,0.05250723,0.8463766,0.04965197,0.004488308,0.0004725452,0.0005233622,0.0004193111,0.03456911],"genre_scores_gemma":[0.3952285,0.02718068,0.5375249,0.02113677,0.01041498,0.00251219,0.0005168031,0.0006755423,0.004809664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7515094,"threshold_uncertainty_score":0.9267449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148127013528016,"score_gpt":0.5355768478957008,"score_spread":0.3874498343676848,"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."}}