{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02176248,0.002072922,0.001768014,0.007104019,0.001212519,0.004214557,0.003597694,0.001613031,0.008935438],"category_scores_gemma":[0.0839107,0.001135777,0.002089589,0.006106368,0.002858043,0.002971089,0.003756989,0.004761686,0.001785835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371137,"about_ca_system_score_gemma":0.003317494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067295,"about_ca_topic_score_gemma":0.00378435,"domain_scores_codex":[0.982701,0.0124568,0.0005802268,0.001138858,0.002878156,0.0002448852],"domain_scores_gemma":[0.9366636,0.05389602,0.002151172,0.003248365,0.003669074,0.0003717396],"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":[0.00003341342,0.00009516509,0.00248038,0.0004005076,0.0004612001,0.0002710657,0.0004285256,0.1305563,0.0005046741,0.705044,0.007278422,0.1524464],"study_design_scores_gemma":[0.00002067695,0.0000476683,0.001065576,0.000155589,0.00004926615,0.0001710987,0.000160587,0.2638465,0.000433699,0.7224128,0.01158927,0.00004720245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001110115,0.0008546998,0.9942298,0.0004807469,0.00006163505,0.0000830599,0.000105125,0.0001438543,0.002930953],"genre_scores_gemma":[0.08284143,0.004314205,0.9062142,0.0004999988,0.0004901681,0.001232664,0.0004715244,0.0003866983,0.003549061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02176248,"threshold_uncertainty_score":0.1150923,"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."}}