{"id":"W3114214393","doi":"10.1111/sjos.12511","title":"Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes","year":2020,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Statistics; Semiparametric regression; Proportional hazards model; Covariate; Econometrics; Semiparametric model; Nonparametric statistics; Covariance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01994025,0.0005314831,0.001471735,0.001421513,0.0003220319,0.00132933,0.002260535,0.0009692813,0.002506833],"category_scores_gemma":[0.06611907,0.0005920776,0.001360205,0.001301822,0.001486616,0.001872813,0.002139797,0.001666237,0.0003223526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330837,"about_ca_system_score_gemma":0.001093997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700923,"about_ca_topic_score_gemma":0.001756909,"domain_scores_codex":[0.9935596,0.004440971,0.0002556715,0.0006125571,0.0008177237,0.0003134376],"domain_scores_gemma":[0.9173372,0.06816334,0.00529683,0.005609323,0.002944652,0.0006487903],"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":[0.0003518489,0.000204878,0.01904847,0.000290273,0.0003433587,0.0004256277,0.0005852474,0.709868,0.002771429,0.1902499,0.001124727,0.07473639],"study_design_scores_gemma":[0.00001101781,0.00004408365,0.001813529,0.00001357516,0.00002050334,0.00003884607,0.0000281399,0.9675499,0.0002783261,0.02990031,0.0002853991,0.00001639052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04336921,0.0001477735,0.9557808,0.0001059776,0.00001150069,0.00004180038,0.0001022948,0.0001237129,0.0003169015],"genre_scores_gemma":[0.8491694,0.0003547213,0.1466529,0.00008057151,0.00005216882,0.0002785158,0.000532928,0.00007754252,0.002801181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01994025,"threshold_uncertainty_score":0.1054553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178268073776426,"score_gpt":0.3802216343547399,"score_spread":0.2019535605783139,"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."}}