{"id":"W2607755516","doi":"10.20944/preprints201703.0191.v1","title":"A Non-Parametric Maximum for Reasonable Number of Rejected Hypotheses: Objective Optima for False Discovery Rate and Significance Threshold in Exploratory Research with Application to Ordinal Survey Analysis","year":2017,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capilano University","funders":"","keywords":"False discovery rate; Statistical hypothesis testing; Parametric statistics; Statistics; Mathematics; Multiple comparisons problem; Ordinal data; Econometrics; Set (abstract data type); Limit (mathematics); Nonparametric statistics; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2494024,0.003533501,0.006119468,0.008197182,0.004745902,0.01017155,0.01008392,0.01104226,0.003165276],"category_scores_gemma":[0.5996572,0.0026524,0.004556468,0.005866818,0.01488609,0.01203571,0.01175863,0.01423681,0.001310626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005041372,"about_ca_system_score_gemma":0.008131563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007588233,"about_ca_topic_score_gemma":0.0006834356,"domain_scores_codex":[0.7651155,0.1821133,0.009714715,0.01429638,0.02619353,0.00256643],"domain_scores_gemma":[0.3084187,0.6166559,0.02361922,0.0279052,0.02030869,0.0030923],"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":[0.003724933,0.0007396044,0.01276922,0.004721573,0.001407116,0.001433469,0.005186414,0.08210042,0.01031734,0.5651678,0.009538685,0.3028933],"study_design_scores_gemma":[0.0004685381,0.001049887,0.003326034,0.001715005,0.0003881142,0.001258608,0.0006138596,0.2004119,0.01143841,0.768801,0.01018157,0.0003471508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004168889,0.001126129,0.9912093,0.001400411,0.0001097219,0.0003511324,0.00009110117,0.0002606184,0.001282817],"genre_scores_gemma":[0.07663551,0.0005520653,0.9180142,0.000802343,0.0002772604,0.00264663,0.0001524814,0.0003050376,0.0006145465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2494024,"threshold_uncertainty_score":0.9256205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4129386954866073,"score_gpt":0.5117431002320771,"score_spread":0.09880440474546986,"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."}}