{"id":"W7116872058","doi":"10.1002/alz70860_105523","title":"A Stratified Machine Learning Evaluation of Risk Factors of Dementia Conversion","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dementia; Focus (optics); Risk assessment; Risk factor","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":[0.01461712,0.001580532,0.001276129,0.003054427,0.000382876,0.001058882,0.0007213665,0.0009595855,0.001827321],"category_scores_gemma":[0.01772815,0.0002518371,0.001871712,0.001140483,0.0005083149,0.0006875959,0.0009191731,0.0008749235,0.0004550506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078636,"about_ca_system_score_gemma":0.00109921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297902,"about_ca_topic_score_gemma":0.001498115,"domain_scores_codex":[0.9958373,0.00281371,0.0002743981,0.000539057,0.0003141091,0.0002214346],"domain_scores_gemma":[0.9842097,0.01288476,0.0008183396,0.0007514902,0.0009903053,0.00034538],"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":[0.002706226,0.0004227412,0.8600132,0.0001024225,0.001470347,0.0001929991,0.0001087928,0.07824545,0.001088862,0.0004928565,0.001041422,0.05411467],"study_design_scores_gemma":[0.0001112323,0.001773918,0.1436803,0.00006646229,0.0005775927,0.0003859522,0.000118059,0.8490473,0.001472736,0.002202727,0.000507223,0.00005646022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492491,0.0007121384,0.04614704,0.0003422014,0.0000809904,0.0001857062,0.001792735,0.0002838091,0.001206188],"genre_scores_gemma":[0.9903196,0.00007046332,0.008407197,0.00004001485,0.00002835846,0.0000569962,0.0008796894,0.000006388226,0.0001911999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01461712,"threshold_uncertainty_score":0.07730359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000157327240028,"score_gpt":0.3401536708596485,"score_spread":0.3001520975872483,"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."}}