{"id":"W4319592398","doi":"10.1016/b978-0-12-398387-9.00019-2","title":"Goodness-of-fit tests","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Goodness of fit; Statistics; Range (aeronautics); Mathematics; Econometrics; Survival function; Computer science; Survival analysis; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001547141,0.0002585786,0.0004493209,0.00009466644,0.00007471851,0.00001867139,0.0002291377,0.0002349462,0.0008509756],"category_scores_gemma":[0.0003640353,0.0002500531,0.0001720545,0.0000278589,0.0001673921,0.00001440898,0.00008348759,0.0002482017,0.001402165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004411686,"about_ca_system_score_gemma":0.00008275561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.423427e-7,"about_ca_topic_score_gemma":0.000003867449,"domain_scores_codex":[0.9986061,0.00001236199,0.0005981356,0.0002784753,0.0003294093,0.0001754738],"domain_scores_gemma":[0.998144,0.0006637594,0.0003455519,0.0005335253,0.0002001008,0.0001131042],"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":[0.000001382722,0.00001033848,4.41399e-7,0.0001337241,0.00003182745,0.000002916823,0.00002260416,1.335146e-7,0.000006662233,0.6998132,0.00173673,0.2982401],"study_design_scores_gemma":[0.0001039369,0.0000130832,0.00003529807,0.0002341519,0.0001004298,0.000002999277,0.000003656578,0.00003425479,0.00002667445,0.6648903,0.3343665,0.0001886393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004877867,0.00002603496,0.00270472,0.00009569903,0.0001317076,0.0004532391,0.0009725323,0.0002258358,0.9953853],"genre_scores_gemma":[0.0006694908,0.00001218431,0.004204855,0.00005828138,0.00008786533,0.00008108065,0.0001385036,0.00008555606,0.9946622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3326298,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471578555998003,"score_gpt":0.3755618691679306,"score_spread":0.2284040135681303,"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."}}