{"id":"W3034174654","doi":"10.2337/db20-1645-p","title":"1645-P: Polygenic Risk Score for Prediction of Complications in Men and Women with Type 2 Diabetes","year":2020,"lang":"en","type":"article","venue":"Diabetes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Logistic regression; Diabetes mellitus; Internal medicine; Type 2 diabetes; Demography; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004504844,0.001164353,0.001018821,0.001551906,0.0002947165,0.001029379,0.0007480793,0.0007905652,0.003884764],"category_scores_gemma":[0.0123795,0.0002810444,0.002001833,0.001488263,0.0003370463,0.000629449,0.0008659492,0.0007642247,0.0007320403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071861,"about_ca_system_score_gemma":0.0003585055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443234,"about_ca_topic_score_gemma":0.001569634,"domain_scores_codex":[0.9978458,0.001143503,0.0001582512,0.0004216624,0.0003324782,0.00009841101],"domain_scores_gemma":[0.993989,0.002658963,0.001887709,0.0005964169,0.0004792392,0.0003887677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001511331,0.00005815152,0.9826019,0.00007145321,0.0015833,0.00006400896,0.00003047217,0.001659632,0.0002027656,0.000122201,0.0009438231,0.01115092],"study_design_scores_gemma":[0.0002727052,0.0009692839,0.9715226,0.00005140042,0.001367817,0.0004947004,0.00004540347,0.0225056,0.0003462597,0.001115802,0.001259333,0.00004902474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783542,0.00280808,0.008007539,0.0004845573,0.0001412544,0.0001199496,0.006643309,0.0002815598,0.003159656],"genre_scores_gemma":[0.993278,0.0002908093,0.003207924,0.00009054883,0.00009484895,0.00006665461,0.002420763,0.00001705001,0.0005333943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004504844,"threshold_uncertainty_score":0.02382416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314720836494808,"score_gpt":0.2274790453410702,"score_spread":0.2143318369761222,"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."}}