{"id":"W7094956682","doi":"10.14288/1.0450524","title":"A Machine Learning Approach to Modify the Neurocognitive Frailty Index for the Prediction of Cognitive Status in the Canadian Population","year":2025,"lang":"en","type":"article","venue":"Open Collections","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurocognitive; Cognition; Predictive validity; Population; Support vector machine; Stressor; Artificial neural network; Scale (ratio)","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":[0.003966667,0.0009868612,0.0005643651,0.002244984,0.001509672,0.001067602,0.001846966,0.0005644555,0.001659811],"category_scores_gemma":[0.01279602,0.0001985379,0.001215879,0.001832253,0.000375681,0.0004210833,0.0008984742,0.00136578,0.0002513753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01163089,"about_ca_system_score_gemma":0.01923189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9173227,"about_ca_topic_score_gemma":0.9279658,"domain_scores_codex":[0.9991153,0.0003062857,0.00004768392,0.0001841053,0.000221933,0.0001247962],"domain_scores_gemma":[0.9975051,0.0007001217,0.0002394974,0.0001362978,0.001236615,0.0001824075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005726339,0.0004518389,0.592603,0.0002236204,0.0007965963,0.0002980924,0.0005198697,0.1263482,0.0008304449,0.004688186,0.01990756,0.25276],"study_design_scores_gemma":[0.00007229425,0.0001588336,0.2744266,0.0001423931,0.0003149893,0.0001216008,0.0003908414,0.7133422,0.0008590868,0.004301765,0.005768131,0.0001012024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621596,0.002806161,0.1030506,0.008017367,0.0003723305,0.0008660709,0.01297924,0.001123298,0.008625389],"genre_scores_gemma":[0.926559,0.0005318667,0.06624923,0.0002952629,0.00005997165,0.0002477501,0.004050311,0.00004605576,0.0019606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0826773,"threshold_uncertainty_score":0.1663284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621516452649384,"score_gpt":0.3115859557115876,"score_spread":0.2653707911850938,"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."}}