{"id":"W2952373856","doi":"10.48550/arxiv.1405.2105","title":"Hybrid Copula Estimators","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ruhr-Universität Bochum; Fédération Wallonie-Bruxelles; McGill University","keywords":"Copula (linguistics); Estimator; Marginal distribution; Mathematics; Empirical distribution function; Cumulative distribution function; Joint probability distribution; Econometrics; Statistics; Applied mathematics; Probability density function; Random variable","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001662719,0.0002651937,0.000335561,0.00009721956,0.0001624041,0.00005083308,0.0004565183,0.0001700867,0.0005567678],"category_scores_gemma":[0.0005119416,0.0003079827,0.0001661305,0.0001606179,0.000159952,0.0000504263,0.000346165,0.0004016299,0.0005891899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637749,"about_ca_system_score_gemma":0.00009053465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002433128,"about_ca_topic_score_gemma":0.000003780773,"domain_scores_codex":[0.9987095,0.00008879465,0.0002658741,0.0005991001,0.00008911001,0.0002476308],"domain_scores_gemma":[0.9981496,0.0004194216,0.0002621442,0.0007807692,0.0001750095,0.0002130929],"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":[0.000007527136,0.00009308499,0.0001383715,0.0001174341,0.00003614062,0.00002380635,0.00001125639,0.008112049,0.000003160072,0.9782319,0.01306778,0.00015749],"study_design_scores_gemma":[0.0002305183,0.000008934473,0.000411773,0.00005406183,0.0001299752,0.000003634546,0.00001148814,0.302214,0.00005271862,0.6950478,0.001562491,0.0002726107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024372,0.000004562257,0.8909137,0.0001087795,0.0001604186,0.0002979088,0.0003895596,0.0003207258,0.005367166],"genre_scores_gemma":[0.9919197,0.00001025025,0.006115842,0.00008691532,0.00005434435,0.000004340184,0.000311807,0.00002808355,0.001468707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8894826,"threshold_uncertainty_score":0.9999372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521070751415411,"score_gpt":0.2630957524177751,"score_spread":0.110988677276234,"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."}}