{"id":"W2097184733","doi":"10.3758/brm.41.3.664","title":"Randomization tests and the unequal-N/unequal-variance problem","year":2009,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Variance (accounting); Statistics; Value (mathematics); Analysis of variance; Type I and type II errors; Word error rate; Mathematics; Computer science; Econometrics; Algorithm; Speech recognition; Economics","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":[0.2841973,0.004782096,0.01100244,0.003865919,0.003414227,0.004793652,0.008432619,0.01011095,0.0240395],"category_scores_gemma":[0.5419312,0.002966704,0.004719939,0.004401028,0.01942963,0.01072504,0.00479959,0.01009003,0.002241612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005289868,"about_ca_system_score_gemma":0.006680629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437205,"about_ca_topic_score_gemma":0.001286311,"domain_scores_codex":[0.4216624,0.5301985,0.00895201,0.01910917,0.01766168,0.002416278],"domain_scores_gemma":[0.314367,0.6344628,0.01218466,0.03186864,0.005884018,0.001232878],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009446756,0.001352627,0.002242648,0.002569199,0.00176096,0.0004489811,0.001661215,0.01301833,0.001110356,0.7879118,0.009293205,0.1691841],"study_design_scores_gemma":[0.006090501,0.001376993,0.0013429,0.0006321283,0.0004173684,0.0002479225,0.0001663153,0.04904389,0.001420501,0.9298002,0.009275757,0.0001854674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00856667,0.0009412034,0.9763201,0.002324745,0.001119731,0.004471228,0.0004535032,0.0004629512,0.005339781],"genre_scores_gemma":[0.1153684,0.0006743129,0.8476082,0.001703099,0.0006473379,0.03075906,0.0002678359,0.0002094993,0.002762285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2841973,"threshold_uncertainty_score":0.8827122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5240400499227096,"score_gpt":0.6774203494091746,"score_spread":0.153380299486465,"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."}}