{"id":"W7119491632","doi":"10.1002/alz70856_105937","title":"Machine Learning Approach for Predicting Amyloid and Tau Positivity in Alzheimer's Disease Using Clinically Accessible Features","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; Montreal Neurological Institute and Hospital","funders":"","keywords":"Disease; Cognitive impairment; Feature (linguistics); Amyloid (mycology); Cohort; Amyloid β; Cognition; Clinical Practice","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":[0.002999442,0.001165897,0.0008396411,0.00205082,0.0003661707,0.001068412,0.0009178962,0.0008784027,0.001484693],"category_scores_gemma":[0.005939239,0.0002696843,0.000965904,0.000806645,0.0002879067,0.0005243569,0.0006952556,0.0009693585,0.0006113724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008294461,"about_ca_system_score_gemma":0.0009370699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005518381,"about_ca_topic_score_gemma":0.003116176,"domain_scores_codex":[0.9992464,0.0003508723,0.00005813917,0.0001699561,0.000100102,0.00007470815],"domain_scores_gemma":[0.9972908,0.002036105,0.0001665637,0.0001115468,0.0003013048,0.00009374309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001321067,0.001109285,0.170691,0.000120651,0.0007795451,0.0003285168,0.0001136847,0.638361,0.002471893,0.0009833418,0.002979142,0.1807408],"study_design_scores_gemma":[0.0000232746,0.00008905913,0.004860433,0.00001476283,0.00003460247,0.00004067311,0.00001423855,0.9933372,0.0003529341,0.001056292,0.0001664574,0.00001012666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7586418,0.002129686,0.2303152,0.001404843,0.0001143232,0.0003022334,0.002339579,0.001455327,0.003296909],"genre_scores_gemma":[0.9815368,0.0001258124,0.01672375,0.0001133133,0.00004908537,0.0001331476,0.000717095,0.00001603732,0.0005849257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005518381,"threshold_uncertainty_score":0.01586276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777348756559326,"score_gpt":0.3603173585416968,"score_spread":0.3225438709761036,"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."}}