{"id":"W3216641316","doi":"10.2139/ssrn.3961574","title":"Non-Standard Errors","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Victoria; York University; The Scarborough Hospital; University of Toronto; HEC Montréal; Kellogg's (Canada); Université du Québec à Montréal; Queen's University; Wilfrid Laurier University","funders":"Booth School of Business, University of Chicago; Leonard N. Stern School of Business, New York University; Universität Leipzig; China Medical University; Universität Mannheim; Universität Zürich; Leibniz-Gemeinschaft; Universidad Carlos III de Madrid; Asia University; Universidad de Murcia; Stockholms Universitet; Riksbankens Jubileumsfond; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universität Wien; Ohio State University; Universität St. Gallen; Austrian Science Fund; Eberhard Karls Universität Tübingen; Erasmus Universiteit Rotterdam; Eötvös Loránd Tudományegyetem; Université du Luxembourg; Universiteit van Amsterdam; Knut och Alice Wallenbergs Stiftelse; New York University Shanghai; University of Bristol; Cardiff University; Háskólinn í Reykjavík; Lunds Universitet; Hang Seng University of Hong Kong; Università di Bologna; Copenhagen Business School; Universiteit Utrecht; Loyola Marymount University; University of Minnesota; Wilfrid Laurier University; University of Essex; Zhongnan University of Economics and Law; Technische Universität Dresden; University of Memphis; Vrije Universiteit Amsterdam; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; China Medical University Hospital; University of Oklahoma; University of New South Wales; Arizona State University","keywords":"Standard error; Statistics; Sample (material); Econometrics; Standard deviation; Test (biology); Population; Reproducibility; Sample size determination; Psychology; Computer science; Mathematics; Demography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00430106,0.00009515173,0.0001718773,0.0001078331,0.0003354093,0.0002216025,0.0005920804,0.00005685127,0.000291015],"category_scores_gemma":[0.0006209022,0.0000712209,0.0001600669,0.0007251134,0.00004917942,0.0001488912,0.00009211763,0.001105149,0.000192035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289023,"about_ca_system_score_gemma":0.002455849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009322387,"about_ca_topic_score_gemma":0.0003478125,"domain_scores_codex":[0.9972472,0.00005707565,0.0004146134,0.0002628208,0.0007776992,0.001240597],"domain_scores_gemma":[0.9987407,0.000126485,0.0001865757,0.0004008284,0.0004523819,0.00009304113],"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":[0.00003117478,0.00007012499,0.003598435,0.000001053609,0.00005185877,0.00002384105,0.00016405,0.00007995973,0.001596678,0.7141181,0.02634173,0.253923],"study_design_scores_gemma":[0.0001584434,0.00009788739,0.0003156206,0.00000703977,0.00000731654,0.0008229734,0.0010974,0.0002546053,0.001386672,0.9073657,0.08839048,0.00009582806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4092308,0.001583465,0.5404646,0.01425372,0.000420226,0.0001620808,0.00001192329,0.000129621,0.03374358],"genre_scores_gemma":[0.9843613,0.0005260113,0.003700084,0.0001813126,0.0001850834,0.000005230555,0.000001693263,0.00001297644,0.01102631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5751305,"threshold_uncertainty_score":0.4801384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854689899546386,"score_gpt":0.3702302026960336,"score_spread":0.3216833037005697,"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."}}