{"id":"W7161853630","doi":"10.82308/43192","title":"A weighted casebase framework for predicting risk in survival data","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Proportional hazards model; Parametric statistics; Sampling (signal processing); Logistic regression; Hazard; Regression; Function (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001536046,0.0002378925,0.0005057869,0.0001267479,0.00007977777,0.0000503492,0.0004422565,0.0004080238,0.0003108158],"category_scores_gemma":[0.04749979,0.0002027143,0.00005632776,0.000285487,0.00001472337,0.00004615877,0.00008158474,0.0005981133,0.00002298411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000289346,"about_ca_system_score_gemma":0.000114813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007473803,"about_ca_topic_score_gemma":0.004551878,"domain_scores_codex":[0.9981152,0.0001844149,0.0005883696,0.0005438935,0.0002597376,0.0003083306],"domain_scores_gemma":[0.9789319,0.01978375,0.0002829805,0.0008139866,0.0001114653,0.00007589709],"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":[0.0002210636,0.0001588394,0.001821344,0.001758738,0.0001279328,0.00004079176,0.001090817,3.883265e-7,0.0000063888,0.9195614,0.005996966,0.06921534],"study_design_scores_gemma":[0.0002650493,0.00005057231,0.001766502,0.0006541202,0.000149631,4.338569e-7,0.001862148,0.028304,0.00004468051,0.9665009,0.0001422796,0.0002596398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03799176,0.00004415796,0.947776,0.0000347908,0.002244912,0.001136105,0.004709281,0.0002949734,0.005768051],"genre_scores_gemma":[0.001621957,0.00005871593,0.9905032,0.00001326479,0.0002629027,0.0001521912,0.003413206,0.00009713847,0.003877413],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0689557,"threshold_uncertainty_score":0.9605235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20606206187163,"score_gpt":0.47148764065212,"score_spread":0.2654255787804899,"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."}}