{"id":"W4255079593","doi":"10.22215/etd/2010-09677","title":"Weighted approximations for studentized U and U-type statistics","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Studentized range; Statistics; Mathematics; Humanities; Philosophy; Standard error","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007212336,0.0002536603,0.0004820089,0.0002669488,0.0003271981,0.0004543222,0.0005033905,0.000282181,0.0004640366],"category_scores_gemma":[0.01107147,0.000195929,0.00004462882,0.0003979441,0.00006978752,0.0002229367,0.00004700491,0.0003776294,0.00007776648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002035922,"about_ca_system_score_gemma":0.0001338608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006570739,"about_ca_topic_score_gemma":0.0003642554,"domain_scores_codex":[0.9971047,0.00003940922,0.0008002196,0.0006631993,0.001130345,0.0002621409],"domain_scores_gemma":[0.9929113,0.004271102,0.0004039873,0.0003883514,0.001868527,0.0001567452],"domain_codex":null,"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":[0.0004757335,0.0001676534,0.0004568428,0.0004073328,0.0001038459,0.000008232953,0.001523523,0.000006214659,0.001508485,0.5416383,0.0170497,0.4366542],"study_design_scores_gemma":[0.0005389941,0.00007724795,0.001869802,0.0000217605,0.00006730097,0.00000148076,0.001530013,0.003438884,0.0006280481,0.9694353,0.02204459,0.0003465194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01118542,0.0001544603,0.9781459,0.00004260175,0.00308794,0.0008503736,0.0005458492,0.00008227996,0.005905205],"genre_scores_gemma":[0.01602511,0.00003929817,0.8442426,0.00002983135,0.0002346819,0.0001387038,0.001069642,0.00005859348,0.1381616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4363077,"threshold_uncertainty_score":0.9972587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09521256976780437,"score_gpt":0.4857265016291825,"score_spread":0.3905139318613782,"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."}}