{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02603409,0.002848918,0.003079595,0.003971213,0.001656909,0.00494474,0.003955959,0.003227845,0.07749655],"category_scores_gemma":[0.2495337,0.001010288,0.004814146,0.009062708,0.002068055,0.003689412,0.00313221,0.006448243,0.04615949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018587,"about_ca_system_score_gemma":0.002747019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00517537,"about_ca_topic_score_gemma":0.004679606,"domain_scores_codex":[0.9431615,0.01561118,0.008549218,0.01324561,0.01725623,0.002176218],"domain_scores_gemma":[0.7136188,0.1728695,0.01366056,0.07385774,0.02516474,0.0008287216],"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":[0.0008853846,0.0008254191,0.04051227,0.00307405,0.003224993,0.001188878,0.001641436,0.01337176,0.001617798,0.1124964,0.3278917,0.49327],"study_design_scores_gemma":[0.0006591181,0.00138066,0.1715487,0.002792885,0.002244633,0.002224856,0.00275718,0.03516819,0.01519931,0.200536,0.5649473,0.0005411236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07527886,0.005841746,0.6195484,0.005955576,0.02383338,0.004934911,0.1265845,0.008522649,0.1294999],"genre_scores_gemma":[0.5140274,0.00316627,0.1476523,0.003364576,0.003524282,0.009839683,0.09047747,0.003923803,0.2240243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07749655,"threshold_uncertainty_score":0.2592518,"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."}}