{"id":"W2050297329","doi":"10.5539/ijsp.v2n1p1","title":"A Competitor of the Kolmogorov--Smirnov Test for the Goodness-of-fit Problem","year":2012,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kolmogorov–Smirnov test; Mathematics; Test statistic; Goodness of fit; Anderson–Darling test; Null distribution; One- and two-tailed tests; Empirical distribution function; Statistic; Pearson's chi-squared test; Statistics; Null hypothesis; Test (biology); Statistical hypothesis testing; Applied mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003514564,0.00007823748,0.0002304259,0.0000573063,0.00007118516,0.00008733752,0.0008414517,0.0000353648,0.00007463989],"category_scores_gemma":[0.004957328,0.00003727831,0.00012362,0.00009397808,0.000276397,0.0001717032,0.0001456285,0.0001193356,0.000001534137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767589,"about_ca_system_score_gemma":0.0001214142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263917,"about_ca_topic_score_gemma":0.00002350914,"domain_scores_codex":[0.9980062,0.00006781603,0.001001,0.000102552,0.0007207599,0.0001017204],"domain_scores_gemma":[0.9903561,0.006436071,0.001167016,0.0002147083,0.001770532,0.00005553231],"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":[0.0002636802,0.0007954735,0.4572116,0.000026981,0.00009799461,9.48596e-7,0.001049063,0.0004760369,0.0004085823,0.03718124,0.004266063,0.4982224],"study_design_scores_gemma":[0.0006688858,0.0002742226,0.2365927,0.00009416382,0.0000716443,0.00006093773,0.0003419759,0.002134414,0.0005283278,0.7309221,0.02820482,0.0001058207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272909,0.000248789,0.06619184,0.001816924,0.002587541,0.0003342649,0.001304621,0.000001941994,0.0002231585],"genre_scores_gemma":[0.9701349,0.0000202103,0.0295847,0.00003999568,0.0001603484,0.000003217986,7.48896e-7,0.000004168529,0.00005169426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6937408,"threshold_uncertainty_score":0.5934743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1446595657714471,"score_gpt":0.4106220353850306,"score_spread":0.2659624696135834,"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."}}