{"id":"W2740235676","doi":"","title":"The Beta Exponentiated Nadarajah-Haghighi Distribution: Theory and Applications","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bathtub; Mathematics; Quantile; Statistics; Parametric statistics; Goodness of fit; Beta distribution; Series (stratigraphy); Applied mathematics; Maximum likelihood; Parametric model; Quantile function; Probability density function; Cumulative distribution function","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005490388,0.0003708961,0.0003760605,0.00005882824,0.001156201,0.0005751674,0.0009997928,0.0002976168,0.0001923432],"category_scores_gemma":[0.003031701,0.0003233945,0.0001710208,0.0003568463,0.00060943,0.0000850227,0.0009967699,0.0006810731,0.0001291706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351555,"about_ca_system_score_gemma":0.0002497852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007815791,"about_ca_topic_score_gemma":0.0001294529,"domain_scores_codex":[0.9939517,0.003693259,0.000749652,0.0007503332,0.00047596,0.0003791237],"domain_scores_gemma":[0.9850333,0.009965048,0.0006246647,0.00228255,0.001874065,0.0002203511],"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":[0.000008641648,0.0002102154,0.00006442058,0.0001167605,0.00006861882,4.048691e-7,0.0003336059,0.000006698272,0.00007143537,0.9813672,0.005124331,0.01262772],"study_design_scores_gemma":[0.0006766117,5.143003e-7,0.005155411,0.0006703728,0.0002371901,0.00001583389,0.0002486333,0.01081102,0.004107099,0.8599424,0.1174382,0.0006966199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003275887,0.0009076486,0.9685671,0.009111365,0.0001139488,0.00131691,0.001486868,0.0003205882,0.01489967],"genre_scores_gemma":[0.952873,0.0009364765,0.02306753,0.0001428944,0.00006353834,0.001486992,0.006699329,0.00008922074,0.014641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9495971,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322231305589878,"score_gpt":0.2803078334998115,"score_spread":0.2570855204439128,"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."}}