{"id":"W1598854239","doi":"","title":"Hypothesis testing in a generic nesting framework with general population distributions","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nesting (process); Null hypothesis; Alternative hypothesis; Divergence (linguistics); Inference; Multinomial distribution; Statistical hypothesis testing; Null (SQL); Econometrics; Statistical inference; Mathematics; Population; Statistics; Inequality; Computer science; Data mining; Artificial intelligence","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":[0.02903812,0.001144705,0.001990451,0.001927891,0.0008880571,0.002787636,0.003522838,0.002238811,0.002795046],"category_scores_gemma":[0.07756655,0.0008819212,0.002227483,0.001909055,0.004919379,0.005915722,0.004791229,0.003469782,0.0005562325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047064,"about_ca_system_score_gemma":0.001447849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400294,"about_ca_topic_score_gemma":0.001326139,"domain_scores_codex":[0.9765323,0.01650463,0.0008791539,0.002978876,0.002431488,0.000673527],"domain_scores_gemma":[0.9222874,0.06145412,0.005079316,0.007689246,0.002333107,0.001156732],"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":[0.0001171758,0.00008716306,0.005142305,0.0002570002,0.000234311,0.000665538,0.0004736024,0.08720183,0.00187771,0.8633677,0.001033512,0.03954215],"study_design_scores_gemma":[0.00002725101,0.00007253837,0.0008241275,0.00004109521,0.0000309021,0.0002703836,0.00005326571,0.2596218,0.0002864568,0.7373158,0.001437037,0.00001947213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009202265,0.0001931609,0.9893964,0.0001699072,0.0000154701,0.00003167785,0.00007762779,0.00007231594,0.0008411913],"genre_scores_gemma":[0.3357385,0.0005867006,0.6598993,0.0004015212,0.0001984331,0.0003665822,0.0004399533,0.000104966,0.002264082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02903812,"threshold_uncertainty_score":0.1535701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1820297716193467,"score_gpt":0.3925656113281402,"score_spread":0.2105358397087935,"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."}}