{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006167422,0.0001514535,0.0003178311,0.0001356954,0.00009842595,0.000004767413,0.0001128422,0.00006682611,0.0003020418],"category_scores_gemma":[0.003727906,0.0001255796,0.00001314604,0.0001980831,0.0002111361,0.00002953557,0.00002401718,0.0002817316,0.00001321397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141571,"about_ca_system_score_gemma":0.00009270855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002056632,"about_ca_topic_score_gemma":0.0002464833,"domain_scores_codex":[0.9984186,0.0001440009,0.0004893308,0.0002443152,0.0004511886,0.0002525424],"domain_scores_gemma":[0.9979537,0.001505581,0.0001169208,0.0001853671,0.0001328647,0.0001056019],"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":[0.0000301137,0.00008865328,0.0007846153,0.00005891065,0.00001128388,0.00001900475,0.0009929923,0.0004274364,0.0004124239,0.9830582,0.005244797,0.008871637],"study_design_scores_gemma":[0.0005965067,0.0001281104,0.005511067,0.00005746761,0.0000243984,0.00002922336,0.0001148307,0.1933247,0.00009602469,0.7999778,0.00002216158,0.0001176841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01589861,0.00002319854,0.9797972,0.0002587328,0.0001633273,0.0001977013,0.00005377928,0.00004311412,0.003564316],"genre_scores_gemma":[0.4218839,0.00006572827,0.5771971,0.0001708026,0.00008309881,0.00001768431,0.00002269867,0.00001752861,0.0005414153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4059853,"threshold_uncertainty_score":0.5120989,"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."}}