{"id":"W2337224958","doi":"10.1007/s10474-016-0595-0","title":"Exploring functional CLT confidence intervals for a population mean in the domain of attraction of the normal law","year":2016,"lang":"en","type":"article","venue":"Acta Mathematica Academiae Scientiarum Hungaricae","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Central limit theorem; Asymptotic distribution; Confidence interval; Normal distribution; Limit (mathematics); Law of large numbers; Weak convergence; Statistic; Random variable; Population; Statistics; Normality; Applied mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.003935225,0.0001679762,0.0003742967,0.0001058161,0.0001678777,0.00003003542,0.0006440012,0.0001247978,0.0001022347],"category_scores_gemma":[0.003445321,0.0000822913,0.0001783509,0.0004346267,0.000381673,0.0004963515,0.000124758,0.0002665341,0.000003456982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983411,"about_ca_system_score_gemma":0.00003869841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002979347,"about_ca_topic_score_gemma":0.00004282195,"domain_scores_codex":[0.9973958,0.0003577925,0.0009338009,0.0002885246,0.0007071043,0.000316961],"domain_scores_gemma":[0.9930223,0.005654972,0.0006330271,0.0004960081,0.0001458869,0.00004786949],"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":[0.00003572687,0.0001157779,0.000401358,0.0002476977,0.00001885738,1.694585e-7,0.001205317,3.440971e-7,0.02504581,0.9706993,0.0003081833,0.001921433],"study_design_scores_gemma":[0.0004055397,0.00006096181,0.01310495,0.0006078737,0.00006676985,0.0000111754,0.0004845818,0.0002278874,0.01592763,0.9688209,0.0001531943,0.0001285381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.240082,0.000009417147,0.7536433,0.003020553,0.000403764,0.0009815947,0.00006180347,0.00002550353,0.001772114],"genre_scores_gemma":[0.8955447,0.000005010866,0.1041083,0.00007710351,0.00004881986,0.0001369619,0.000001330252,0.00001438914,0.00006335841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6554627,"threshold_uncertainty_score":0.412462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996643374590832,"score_gpt":0.3673533968993278,"score_spread":0.1676890594402446,"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."}}