{"id":"W4292756324","doi":"10.37765/ajmc.2022.89212","title":"Validation of the FINE-CKD model for future health technology assessments for finerenone in patients with chronic kidney disease and type 2 diabetes","year":2022,"lang":"en","type":"article","venue":"The American Journal of Managed Care","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Gilead Sciences; Akebia Therapeutics; Sanofi; Bayer; AstraZeneca; University of Washington; Eli Lilly and Company","keywords":"Medicine; Kidney disease; Type 2 diabetes; Extrapolation; Population; Internal medicine; Clinical trial; Diabetes mellitus; Incidence (geometry); Disease; Intensive care medicine; Statistics; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001946403,0.000092763,0.0003024143,0.0001243551,0.0001325161,0.000005404668,0.0001671306,0.00001005134,0.000006106942],"category_scores_gemma":[0.00009428916,0.00005305891,0.00007226692,0.000333469,0.0001096473,0.0000377757,0.00007045105,0.0001738365,3.369376e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255312,"about_ca_system_score_gemma":0.0008994418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004031782,"about_ca_topic_score_gemma":0.000003335342,"domain_scores_codex":[0.9991977,0.00007084926,0.0002258766,0.0001064026,0.0002246043,0.0001745713],"domain_scores_gemma":[0.9989595,0.00005041151,0.0004790447,0.0002222506,0.0001713143,0.0001174132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006648917,0.0006597057,0.8825293,0.001889471,0.0006941413,0.000002759818,0.001661363,0.01233373,0.0002308255,0.0003226029,0.00850465,0.08452257],"study_design_scores_gemma":[0.03438991,0.02794462,0.8813282,0.001388366,0.002550946,0.000005322581,0.01448584,0.03028927,0.0005290125,0.002826569,0.003693278,0.0005687322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899727,0.001533701,0.0001294856,0.007354244,0.00006709377,0.0007132859,0.0002203951,0.000005020599,0.000004072154],"genre_scores_gemma":[0.9984594,0.00003968082,0.0003134824,0.0009603169,0.00006200446,0.00004844043,0.00007636686,0.00001691439,0.0000233659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08395384,"threshold_uncertainty_score":0.216368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007877660245349544,"score_gpt":0.2703723097359442,"score_spread":0.2624946494905947,"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."}}