{"id":"W3153281522","doi":"10.1371/journal.pone.0249123","title":"Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Juravinski Cancer Centre; Ottawa Hospital","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; NRG Oncology; American Society for Radiation Oncology","keywords":"Tobit model; Ordinary least squares; Medicine; Prostate cancer; Statistics; Cancer; Clinical trial; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02869301,0.000725146,0.001608153,0.00205546,0.000325215,0.001150865,0.001097126,0.0004970173,0.003868649],"category_scores_gemma":[0.04551839,0.0003079021,0.003826626,0.002967499,0.0004509644,0.0009504823,0.00170077,0.001649267,0.0009219104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212688,"about_ca_system_score_gemma":0.001294323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004108546,"about_ca_topic_score_gemma":0.002922266,"domain_scores_codex":[0.9828142,0.01284255,0.0008331673,0.001182557,0.001791174,0.0005364118],"domain_scores_gemma":[0.9727612,0.01380522,0.006314286,0.003699616,0.002880776,0.0005390276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03647861,0.002299789,0.8655784,0.001408868,0.008565119,0.0001631143,0.0003707836,0.0183317,0.0006602296,0.001613726,0.01056892,0.0539608],"study_design_scores_gemma":[0.003729596,0.007051047,0.9539599,0.0002992988,0.003035635,0.0002465317,0.0002224993,0.02207124,0.001152563,0.001644546,0.006516213,0.00007093298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601155,0.001509437,0.007055351,0.0003779024,0.00006143683,0.002204378,0.02371199,0.0001000901,0.004863881],"genre_scores_gemma":[0.976534,0.0001346924,0.002494081,0.0002040001,0.00004028732,0.001612255,0.01823276,0.00004103841,0.0007068893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02869301,"threshold_uncertainty_score":0.151745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2880770856105974,"score_gpt":0.4166988932591985,"score_spread":0.1286218076486011,"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."}}