{"id":"W4400523170","doi":"10.1007/978-3-031-65723-8_23","title":"Non-parametric Frailty Model for the Natural History of Prostate Cancer; Using Data from a Screening Trial","year":2024,"lang":"en","type":"book-chapter","venue":"Contributions to statistics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Prostate cancer; Natural history; Medicine; Parametric statistics; Cancer; Oncology; Internal medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0160747,0.001232872,0.002263606,0.001096802,0.0005023439,0.00134798,0.003161757,0.001926505,0.004913196],"category_scores_gemma":[0.03728111,0.0009361472,0.001936137,0.00158808,0.001175891,0.002216955,0.001196711,0.003708584,0.0007954559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175229,"about_ca_system_score_gemma":0.001727255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662188,"about_ca_topic_score_gemma":0.02290051,"domain_scores_codex":[0.9974475,0.001976782,0.00007552154,0.0002138362,0.0001857591,0.0001007382],"domain_scores_gemma":[0.9751561,0.02235766,0.0006336363,0.001240727,0.0003832162,0.0002285934],"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":[0.0004546915,0.0002074048,0.0127812,0.0004304044,0.0008524912,0.0009800835,0.0004350501,0.5690123,0.0007212816,0.2477388,0.03557401,0.1308123],"study_design_scores_gemma":[0.00007974144,0.000110467,0.004386235,0.0000876242,0.0001520212,0.0001881769,0.00005830549,0.820732,0.000113206,0.1692836,0.004757208,0.00005140085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04435705,0.00562604,0.9373866,0.003148619,0.0003990796,0.0001610721,0.003611259,0.0006113448,0.004698918],"genre_scores_gemma":[0.5650034,0.01132495,0.35299,0.001305598,0.00144075,0.001728907,0.00715021,0.0007152436,0.05834083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01662188,"threshold_uncertainty_score":0.08501214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5286363674431813,"score_gpt":0.4737866987093634,"score_spread":0.05484966873381791,"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."}}