{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1191487,0.001133395,0.003560581,0.004257515,0.00153831,0.005485312,0.003302545,0.005479433,0.007333743],"category_scores_gemma":[0.586964,0.0008965536,0.001482627,0.003088978,0.009835348,0.01296915,0.004515843,0.006592479,0.001388583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002291054,"about_ca_system_score_gemma":0.003399957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589368,"about_ca_topic_score_gemma":0.0009219548,"domain_scores_codex":[0.9125965,0.05769471,0.005444723,0.007761789,0.01368767,0.002814674],"domain_scores_gemma":[0.4653427,0.4667611,0.02039395,0.02838548,0.01598583,0.003130937],"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":[0.001014557,0.0001556006,0.03345701,0.001134681,0.0003145637,0.0007426895,0.003331263,0.008758802,0.001161986,0.7290241,0.0169821,0.2039226],"study_design_scores_gemma":[0.0002196035,0.0003225358,0.00536867,0.0004930818,0.00009346189,0.0005308532,0.0008300826,0.0300712,0.00123891,0.9493463,0.01139411,0.0000912254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06394994,0.006956032,0.8739965,0.030168,0.001063738,0.000335326,0.0009198844,0.001384239,0.02122634],"genre_scores_gemma":[0.8080515,0.0015499,0.1816383,0.004241694,0.001008253,0.000633918,0.0007481714,0.0003870794,0.001741328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1191487,"threshold_uncertainty_score":0.6301262,"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."}}