{"id":"W2996732096","doi":"10.1016/j.jval.2019.09.936","title":"PDB54 ECONOMIC EVALUATION OF A NEW POLYGENIC RISK SCORE TO PREVENT NEPHROPATHIES IN TYPE-2 DIABETIC PATIENTS","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Medicine; Diabetic nephropathy; Time horizon; Disease; Type 2 diabetes; Diabetes mellitus; Demography; Internal medicine; Finance; Endocrinology","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":[0.01182614,0.0008590189,0.001821732,0.001182363,0.0003033269,0.001536696,0.0007678241,0.001149155,0.004509883],"category_scores_gemma":[0.03180256,0.0002767634,0.003027615,0.001030228,0.0003843965,0.0006295096,0.001133072,0.001260024,0.0002418984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003325469,"about_ca_system_score_gemma":0.00336878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109224,"about_ca_topic_score_gemma":0.004918171,"domain_scores_codex":[0.9902881,0.007913118,0.0003772174,0.0002865786,0.0008160952,0.0003189505],"domain_scores_gemma":[0.988075,0.00870298,0.0008740281,0.0004807462,0.0009923077,0.0008750143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.3203509,0.01112225,0.1645549,0.002654269,0.01764394,0.0003660987,0.0001432876,0.1903915,0.0009398449,0.01394549,0.01549616,0.2623915],"study_design_scores_gemma":[0.139732,0.07955167,0.2061454,0.001119558,0.01534325,0.0003637491,0.0003622229,0.5320975,0.001557602,0.009882116,0.01355684,0.0002880268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510134,0.007099597,0.01080666,0.004860391,0.0008359748,0.002627828,0.01017024,0.0001571732,0.01242867],"genre_scores_gemma":[0.9914895,0.000635811,0.004115082,0.0003129838,0.0000931386,0.0005676607,0.001990333,0.000008720152,0.0007866984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182614,"threshold_uncertainty_score":0.06254339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.290316852410596,"score_gpt":0.4066461255172055,"score_spread":0.1163292731066095,"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."}}