{"id":"W7116835200","doi":"10.1002/alz70862_110285","title":"Time‐dependent biomarker accuracy in forecasting mild cognitive impairment","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Montreal Neurological Institute and Hospital","funders":"","keywords":"Biomarker; Cognitive impairment; Clinical trial; Diagnostic accuracy; Timeline; Sensitivity (control systems)","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":[0.01108897,0.001208615,0.0007604452,0.002449298,0.0003082808,0.001526545,0.000857345,0.001376267,0.0009295151],"category_scores_gemma":[0.03801436,0.0003255885,0.001051528,0.0009523845,0.0004833988,0.001412817,0.0009774338,0.001232694,0.0006390787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000621978,"about_ca_system_score_gemma":0.0007990824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006733417,"about_ca_topic_score_gemma":0.00478492,"domain_scores_codex":[0.9980541,0.0009226481,0.0001706597,0.0004068541,0.0002701353,0.0001757351],"domain_scores_gemma":[0.9750972,0.01799813,0.003198416,0.001197695,0.001844413,0.0006642444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001717989,0.0001660041,0.9001358,0.00009790673,0.0005272108,0.0001321671,0.0001324529,0.06414793,0.001245313,0.000191845,0.0007080432,0.03079749],"study_design_scores_gemma":[0.00005125621,0.001138745,0.4128023,0.0001078645,0.000456954,0.0005846946,0.0001939437,0.5780693,0.003154341,0.002445289,0.0009018198,0.00009358074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764245,0.002807651,0.01756002,0.0005016798,0.00007749296,0.00005951267,0.001200943,0.0003136368,0.00105453],"genre_scores_gemma":[0.996006,0.000255796,0.002927454,0.00003973905,0.00003140381,0.00001617086,0.0005370115,0.00001099883,0.0001755161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108897,"threshold_uncertainty_score":0.05864477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583813187204602,"score_gpt":0.3425527846674783,"score_spread":0.2967146527954323,"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."}}