{"id":"W3094519324","doi":"10.1002/sim.8786","title":"Spline‐based accelerated failure time model","year":2020,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Parametric statistics; Accelerated failure time model; Covariate; Computer science; Spline (mechanical); Proportional hazards model; Parametric model; Semiparametric model; Hazard; Statistics; Mathematics; Engineering; Structural engineering","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":[0.007427772,0.001263355,0.002380631,0.002373852,0.0005781578,0.001412795,0.00402606,0.002364496,0.009981912],"category_scores_gemma":[0.01336122,0.0007118691,0.002523006,0.002458743,0.001291934,0.001548059,0.001434353,0.003370397,0.002229891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022895,"about_ca_system_score_gemma":0.002325316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009362318,"about_ca_topic_score_gemma":0.004311925,"domain_scores_codex":[0.9972522,0.001203258,0.0001542588,0.0004264996,0.0005695351,0.0003941702],"domain_scores_gemma":[0.993692,0.003592698,0.0007523293,0.0004100029,0.001253652,0.0002993501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003435574,0.000118723,0.00604089,0.0003177755,0.0002130717,0.0004986089,0.0002771471,0.7063906,0.001344979,0.2387524,0.00590835,0.03979403],"study_design_scores_gemma":[0.0001132684,0.0001426377,0.001179552,0.0000340463,0.00008482724,0.0001960768,0.00002413476,0.9344695,0.0001710662,0.05889966,0.004641487,0.0000438134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02350355,0.001176974,0.9678559,0.0009953945,0.0002474799,0.0001634092,0.001142531,0.0006133679,0.004301373],"genre_scores_gemma":[0.8420349,0.003941591,0.1070388,0.0004839004,0.0006010997,0.001245434,0.003697246,0.000258406,0.04069876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009981912,"threshold_uncertainty_score":0.03928226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4405836122262447,"score_gpt":0.4606245123093229,"score_spread":0.02004090008307818,"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."}}