{"id":"W1911684645","doi":"10.1111/sjos.12113","title":"A Cox‐Aalen Model for Interval‐censored Data","year":2014,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Covariate; Mathematics; Proportional hazards model; Estimator; Statistics; Counting process; Confidence interval; Hazard ratio; Parametric statistics; Econometrics; Applied mathematics","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":[0.02770582,0.001069295,0.001881436,0.001778943,0.0006773863,0.002315512,0.004760466,0.002037951,0.006467291],"category_scores_gemma":[0.04503123,0.001107074,0.00177492,0.002263081,0.002126251,0.003436902,0.002011002,0.004138806,0.001174088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582516,"about_ca_system_score_gemma":0.002168631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005652319,"about_ca_topic_score_gemma":0.004032238,"domain_scores_codex":[0.9920695,0.005309797,0.0002887041,0.001045083,0.0009732934,0.0003136912],"domain_scores_gemma":[0.9657995,0.02764614,0.002407683,0.002395415,0.001309696,0.000441505],"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":[0.0005014209,0.000104508,0.00589682,0.0004181509,0.0002664582,0.0004353201,0.0004408442,0.5198162,0.001036884,0.4262053,0.003537086,0.04134096],"study_design_scores_gemma":[0.00007340383,0.0001241236,0.0009238013,0.0000612763,0.00004990848,0.0001243812,0.00005139845,0.8953704,0.0003960208,0.09888435,0.003893547,0.0000473288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007649256,0.0003560747,0.990301,0.0004188409,0.00004589577,0.0001113843,0.0004367329,0.0001288072,0.0005520774],"genre_scores_gemma":[0.4028311,0.002063269,0.5708144,0.000635847,0.0003522099,0.002297032,0.002749149,0.0001778901,0.01807912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02770582,"threshold_uncertainty_score":0.1465241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2094174489564463,"score_gpt":0.4157355344320855,"score_spread":0.2063180854756392,"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."}}