{"id":"W4399534806","doi":"10.1007/s12561-024-09436-7","title":"Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data","year":2024,"lang":"en","type":"article","venue":"Statistics in Biosciences","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Estimator; Mathematics; Asymptotic distribution; Bivariate analysis; Applied mathematics; Mathematical optimization; Statistics; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01017984,0.0007720661,0.002795187,0.002557718,0.0005784944,0.002079918,0.003364916,0.001615064,0.005686991],"category_scores_gemma":[0.04304031,0.00110411,0.002911028,0.002356279,0.001149008,0.002562265,0.002831734,0.002700683,0.001249681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005488976,"about_ca_system_score_gemma":0.002103831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829098,"about_ca_topic_score_gemma":0.00525644,"domain_scores_codex":[0.9970571,0.001838971,0.0001300273,0.0004354492,0.0003295456,0.0002088603],"domain_scores_gemma":[0.9752066,0.02061551,0.0007011829,0.002533942,0.0006611436,0.000281654],"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":[0.0008720066,0.0002578146,0.02262941,0.0002447439,0.001062956,0.0004406412,0.0006572341,0.595694,0.001213956,0.1540148,0.004218032,0.2186944],"study_design_scores_gemma":[0.00002580253,0.00006206546,0.00180025,0.00004615834,0.0000718487,0.0001239748,0.00005582991,0.9374467,0.0004077534,0.05861759,0.001320173,0.00002177255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03448123,0.0002318095,0.9635734,0.0002133353,0.0000457824,0.00004279346,0.0003159477,0.0002991025,0.0007964686],"genre_scores_gemma":[0.665125,0.00123322,0.3144582,0.0003433006,0.0002229063,0.0007295469,0.003997804,0.0002882281,0.01360188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017984,"threshold_uncertainty_score":0.05383676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349702089145467,"score_gpt":0.4406628682488462,"score_spread":0.3056926593342996,"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."}}