{"id":"W1992221362","doi":"10.1002/sim.3316","title":"Archimedean copula model selection under dependent truncation","year":2008,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Copula (linguistics); Mathematics; Truncation (statistics); Multivariate statistics; Statistics; Econometrics; Applied mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01630425,0.001324802,0.002503769,0.00149962,0.0009009495,0.001556049,0.002694139,0.001093791,0.001508561],"category_scores_gemma":[0.03898967,0.0008077837,0.002215658,0.001787378,0.001268514,0.00180922,0.001820686,0.002601029,0.0006215593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100782,"about_ca_system_score_gemma":0.001987819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006021926,"about_ca_topic_score_gemma":0.003618801,"domain_scores_codex":[0.9938943,0.00432208,0.0001987334,0.0006657431,0.0006295296,0.000289724],"domain_scores_gemma":[0.9731387,0.01967642,0.001623033,0.002490008,0.002529929,0.0005418278],"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":[0.0002832516,0.00009436405,0.005648961,0.0001141585,0.0003021484,0.0006126526,0.0002932622,0.8558809,0.001401428,0.08453651,0.002292994,0.04853936],"study_design_scores_gemma":[0.00001584142,0.00002880623,0.0005493184,0.000006114464,0.00001489794,0.0000392995,0.00001346271,0.983224,0.0001838269,0.01570504,0.0002068953,0.00001255521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0422038,0.0002129256,0.9564382,0.0001789467,0.00002587395,0.00007244333,0.0001470126,0.0001601247,0.0005606923],"genre_scores_gemma":[0.6119524,0.0008013591,0.3803984,0.0002115269,0.0001455099,0.0007363354,0.001568209,0.0002317793,0.003954424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01630425,"threshold_uncertainty_score":0.08622611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596442010233539,"score_gpt":0.431878468074725,"score_spread":0.2722342670513711,"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."}}