{"id":"W4404670782","doi":"10.1016/j.spl.2024.110310","title":"Improving the Bickel–Rosenblatt global measure of deviation and goodness-of-fit test","year":2024,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Mathematics; Goodness of fit; Measure (data warehouse); Statistics; Econometrics","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":[],"consensus_categories":[],"category_scores_codex":[0.02311379,0.001662588,0.004063318,0.005729111,0.001224002,0.002731168,0.004307107,0.003637293,0.004265015],"category_scores_gemma":[0.1182507,0.0008574455,0.001710668,0.003718176,0.002831761,0.005393531,0.006017935,0.004386229,0.001652209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448797,"about_ca_system_score_gemma":0.002129745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156817,"about_ca_topic_score_gemma":0.002371708,"domain_scores_codex":[0.9820031,0.01064885,0.001032952,0.001930833,0.003824104,0.0005601327],"domain_scores_gemma":[0.9201877,0.05787221,0.002070921,0.008998711,0.009327439,0.001542912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001732602,0.0004940606,0.03610179,0.0007558827,0.001466014,0.0005701171,0.0006056628,0.3476958,0.008970036,0.1681966,0.009963484,0.4234479],"study_design_scores_gemma":[0.0000782409,0.0004229748,0.00614199,0.00009048345,0.0001431576,0.0003749539,0.0001064124,0.8936622,0.003230389,0.09300134,0.002598752,0.0001491841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03039564,0.0009119062,0.9657114,0.0003110743,0.0001133298,0.00004699979,0.0001870702,0.0006631077,0.001659412],"genre_scores_gemma":[0.494001,0.0005792645,0.4998707,0.0005723814,0.0002917949,0.0002625452,0.001065171,0.0009952972,0.002361886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02311379,"threshold_uncertainty_score":0.1222389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338699734605353,"score_gpt":0.2200373021693581,"score_spread":0.2066503048233046,"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."}}