{"id":"W4389675280","doi":"10.6000/1929-6029.2023.12.27","title":"Comparative Study on Estimation Methods of Proportional Hazard Models for Interval-Censored Data","year":2023,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finkelstein's test; Statistics; Mathematics; Estimation; Piecewise; Interval estimation; Proportional hazards model; Interval (graph theory); Sample size determination; Confidence interval; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02082952,0.0001195635,0.0005223181,0.0007375928,0.00004664097,0.0000445021,0.001416533,0.00008559643,0.0002194519],"category_scores_gemma":[0.08941437,0.00009255009,0.00004879979,0.0004040037,0.0003221772,0.0001376407,0.0003903988,0.0007651264,0.000006726487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422334,"about_ca_system_score_gemma":0.0005980589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001949951,"about_ca_topic_score_gemma":0.00002312333,"domain_scores_codex":[0.9927754,0.001292734,0.00144418,0.0002579439,0.003956758,0.0002730245],"domain_scores_gemma":[0.9656291,0.03048434,0.0004402545,0.0002869974,0.002984184,0.0001751036],"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":[0.001157639,0.001890336,0.000372878,0.000125489,0.0003554687,0.0002775966,0.002237662,0.0007932347,0.0001083975,0.7720305,0.02105396,0.1995969],"study_design_scores_gemma":[0.0009206492,0.0006884724,0.00162533,0.0002754666,0.00001254771,0.000009444349,0.0008919975,0.4290364,0.0001180362,0.5662902,0.00007952935,0.00005189301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02063422,0.00001129164,0.9764488,0.0008695202,0.0004782015,0.0004583319,0.0007751563,0.000007752988,0.0003166973],"genre_scores_gemma":[0.3194421,0.00003549614,0.6802472,0.00001981459,0.0001207655,0.00002568624,0.0000544373,0.00001271318,0.00004180932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4282432,"threshold_uncertainty_score":0.9182559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6834944017493002,"score_gpt":0.6880050945517989,"score_spread":0.004510692802498717,"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."}}