{"id":"W1602858783","doi":"10.1002/sta4.40","title":"When are first‒order asymptotics adequate? A diagnostic","year":2014,"lang":"en","type":"article","venue":"Stat","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Collinearity; Boundary (topology); Inference; Class (philosophy); Skewness; Asymptotic analysis; Econometrics; Mathematics; Sample (material); Logistic regression; Applied mathematics; Mathematical economics; Computer science; Statistics; Mathematical analysis; Artificial intelligence; Physics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003278671,0.0001509768,0.0002520646,0.00003308178,0.0000872184,0.00004467051,0.0001621522,0.00006849978,0.001303644],"category_scores_gemma":[0.02135346,0.0001230758,0.0000405485,0.00009263453,0.00007262798,0.00003935145,0.00006715519,0.0001441348,0.0003009659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363009,"about_ca_system_score_gemma":0.00001818309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002417695,"about_ca_topic_score_gemma":0.00004675705,"domain_scores_codex":[0.9988773,0.000122688,0.0002506946,0.0002201488,0.000218355,0.0003107853],"domain_scores_gemma":[0.9902617,0.009034246,0.0001013977,0.0003500834,0.0001214373,0.0001311846],"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":[0.000009907741,0.0001275449,0.00486064,0.0001744741,0.00003291364,0.00001494264,0.000976205,0.000005658553,0.000006812247,0.9292826,0.0322407,0.03226759],"study_design_scores_gemma":[0.0003057474,0.000125038,0.00521689,0.0001131329,0.00004617955,0.000003224252,0.0001319211,0.003905313,0.00005089442,0.9744992,0.01538188,0.0002206352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008674136,0.00004902254,0.9795744,0.0008692363,0.0003333174,0.0001807316,0.00004520142,0.00009875926,0.01017521],"genre_scores_gemma":[0.275805,0.00002174555,0.7218607,0.0004864634,0.0001893226,0.00004645575,0.00000479043,0.00004543849,0.001540133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2671308,"threshold_uncertainty_score":0.9996093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422756562258991,"score_gpt":0.3386047526662154,"score_spread":0.2743771870436255,"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."}}