{"id":"W4411984812","doi":"10.1080/01621459.2025.2520460","title":"Checking the Cox Proportional Hazards Model with Interval-Censored Data","year":2025,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; University of Waterloo","keywords":"Proportional hazards model; Statistics; Mathematics; Interval (graph theory); Econometrics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001983078,0.0001187931,0.0003820645,0.00003984466,0.0001640251,0.0000794241,0.0006485703,0.00003055495,0.00002875233],"category_scores_gemma":[0.01642953,0.00005579185,0.00006225047,0.0003171763,0.0002435906,0.00008935366,0.0001853728,0.0004471072,0.000001688377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891661,"about_ca_system_score_gemma":0.0003849301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002550143,"about_ca_topic_score_gemma":0.00001607161,"domain_scores_codex":[0.9978579,0.0004337374,0.0006065511,0.0001450897,0.0007535361,0.0002032251],"domain_scores_gemma":[0.9936466,0.003924749,0.001482432,0.0003835374,0.0005109492,0.00005171313],"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":[0.000452384,0.0003426438,0.01826696,0.00006422507,0.0007063666,0.00001041831,0.0002830331,0.0002992585,0.0002646092,0.8082551,0.0987471,0.0723079],"study_design_scores_gemma":[0.0005814314,0.0002256087,0.08485686,0.0002159308,0.0005797598,0.00002162103,0.0002993259,0.1781343,0.00009110806,0.7338954,0.0009378043,0.0001608123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02270891,0.00001053054,0.968119,0.007798697,0.000155128,0.0001405824,0.0002459926,0.00000999862,0.0008111339],"genre_scores_gemma":[0.4759797,0.00001098926,0.5223854,0.0008794967,0.00009750048,0.000004455243,0.000004705129,0.00001276852,0.0006250074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4532708,"threshold_uncertainty_score":0.9918555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06215604467419755,"score_gpt":0.400880769347952,"score_spread":0.3387247246737544,"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."}}