{"id":"W7034185785","doi":"","title":"Statistical approaches to copula model selection","year":2015,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urbanism, Landscape, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copula (linguistics); Chen; Model selection; Randomness; Selection (genetic algorithm); Statistical hypothesis testing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001272236,0.0006181353,0.0007903566,0.0003870279,0.001402693,0.0001234574,0.0006045654,0.0008319961,0.0009080726],"category_scores_gemma":[0.0007785365,0.0006158862,0.000147749,0.0006416147,0.0002368957,0.0002301762,0.0002352028,0.0008014651,0.001018406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007227601,"about_ca_system_score_gemma":0.0001867378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007413917,"about_ca_topic_score_gemma":0.04446714,"domain_scores_codex":[0.9957004,0.0005276395,0.0004559847,0.001033111,0.001276926,0.001005957],"domain_scores_gemma":[0.998253,0.0001277453,0.0002571167,0.0004111354,0.0001782889,0.0007726622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009775844,0.0003948103,0.0001067295,0.0001327631,0.0004785782,0.00004491509,0.0004239965,0.0001344618,0.00003880511,0.7215643,0.2535053,0.0230776],"study_design_scores_gemma":[0.0004007657,0.00009679436,0.00003167265,0.00008293962,0.0001596293,0.000002875245,0.0003080007,0.0001214604,0.00003083767,0.0248811,0.9730638,0.0008201225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001486598,0.0003438836,0.00003170905,0.00010389,0.0009387811,0.0008905866,0.002445782,0.0007954893,0.9929633],"genre_scores_gemma":[0.1271445,0.0002562524,0.008195463,0.000377818,0.0006960279,0.0001989277,0.0001827874,0.0007273696,0.8622208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7195585,"threshold_uncertainty_score":0.9998974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008433499719981,"score_gpt":0.2794581298344538,"score_spread":0.1786147798624558,"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."}}