{"id":"W2133600798","doi":"10.1002/cjs.11146","title":"Positive quadrant dependence testing and constrained copula estimation","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Copula (linguistics); Resampling; Econometrics; Nonparametric statistics; Null hypothesis; Statistics; Statistical hypothesis testing; Mathematics; Parametric statistics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0253503,0.001049336,0.001699995,0.003331244,0.0008404972,0.001868102,0.002508801,0.001312913,0.006421695],"category_scores_gemma":[0.2081878,0.0005144949,0.001804651,0.003074807,0.003740343,0.002857872,0.002609474,0.002151773,0.0004995579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000904939,"about_ca_system_score_gemma":0.001251175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482378,"about_ca_topic_score_gemma":0.001281981,"domain_scores_codex":[0.9728526,0.02158781,0.0007129453,0.002039472,0.002196479,0.0006105179],"domain_scores_gemma":[0.6773492,0.2912955,0.0106168,0.01342158,0.005802419,0.001514583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001389901,0.000504526,0.07415354,0.0004844821,0.001486085,0.002011891,0.001027169,0.42538,0.00585297,0.2742553,0.004556663,0.2088975],"study_design_scores_gemma":[0.00007240866,0.000248542,0.01227371,0.00006368299,0.00005150104,0.0002999347,0.0001368011,0.874262,0.001908454,0.1097582,0.0008616838,0.00006311079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124342,0.0002220371,0.8721284,0.0002902814,0.00002799077,0.0001972475,0.0002253378,0.0002849852,0.002281744],"genre_scores_gemma":[0.9071576,0.00008856125,0.09161004,0.00008383532,0.00003585098,0.0002228681,0.0003673259,0.00008600252,0.000347908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0253503,"threshold_uncertainty_score":0.1340668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104600904206516,"score_gpt":0.2859623023398878,"score_spread":0.2549162932978227,"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."}}