{"id":"W4397045564","doi":"10.1681/asn.20233411s171a","title":"External Validation of the Klinrisk Model in US Commercial, Medicare Advantage, and Medicaid Populations","year":2023,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Diverse Scientific Research Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicaid; Medicine; Actuarial science; Business; Economics; Health care; Economic growth","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":[0.04285453,0.0009868823,0.0006373076,0.00118811,0.0006193196,0.000833826,0.001070928,0.00109758,0.001604755],"category_scores_gemma":[0.05456529,0.0002467904,0.00117973,0.0007796532,0.001038844,0.0008459045,0.00161371,0.001021091,0.0006604956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009219403,"about_ca_system_score_gemma":0.001732153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00647868,"about_ca_topic_score_gemma":0.004064113,"domain_scores_codex":[0.9905779,0.006448567,0.0004527017,0.001300524,0.000891653,0.0003286472],"domain_scores_gemma":[0.949743,0.03359334,0.00347317,0.004966964,0.007380761,0.0008427012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004227673,0.000947532,0.8792351,0.0001397167,0.0009772612,0.0002358625,0.0003962529,0.08069399,0.0009305406,0.001002528,0.005580015,0.0256335],"study_design_scores_gemma":[0.0009004574,0.00236698,0.3092907,0.0001661902,0.0003888288,0.0006622078,0.0004332828,0.677583,0.002681257,0.002188175,0.003267201,0.00007168327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877158,0.0002002564,0.008559232,0.0001743589,0.00003774402,0.0002085784,0.00184819,0.0001854077,0.001070287],"genre_scores_gemma":[0.9896068,0.00004185777,0.004978917,0.00009918194,0.00001811056,0.0001733021,0.004849075,0.00002571743,0.0002068868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04285453,"threshold_uncertainty_score":0.2266392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149889917699514,"score_gpt":0.4617287074968416,"score_spread":0.3467397157268901,"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."}}