{"id":"W4390079083","doi":"10.1017/s1355617723002977","title":"93 Impact of Cardiovascular Risk on Cognitive and Brain Aging in Autosomal Dominant Frontotemporal Dementia","year":2023,"lang":"en","type":"article","venue":"Journal of the International Neuropsychological Society","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Medicine; Cardiology; Frontotemporal lobar degeneration; Internal medicine; Frontotemporal dementia; Dementia; Hyperintensity; Vascular dementia; Atrial fibrillation; Population; Disease; Magnetic resonance imaging","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":[0.0005373672,0.0003778763,0.0002641152,0.000685741,0.0005055411,0.0004988111,0.0002132408,0.0003543512,0.001774215],"category_scores_gemma":[0.001552793,0.0001367423,0.000344432,0.0006527829,0.000187851,0.0002777472,0.0004136184,0.0003371588,0.0001654995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771276,"about_ca_system_score_gemma":0.0002580182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006624368,"about_ca_topic_score_gemma":0.01487989,"domain_scores_codex":[0.9997805,0.00004747527,0.00002344005,0.00004430426,0.00006644442,0.00003790958],"domain_scores_gemma":[0.999474,0.00009053913,0.0002667303,0.0000269543,0.00006258771,0.00007927236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003215169,0.00006149273,0.9937132,0.00001685619,0.00007808972,0.0001975511,0.00005934767,0.00005079123,0.0001979641,0.00002801792,0.0001460808,0.005129135],"study_design_scores_gemma":[0.000006373373,0.0000493263,0.9994796,0.000005762977,0.0000225714,0.0002215248,0.00001982123,0.0000632744,0.00002533464,0.00004126341,0.00006365061,0.000001601413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998099,0.0004385989,0.0000460742,0.00005375315,0.000004527649,0.000005795278,0.0003297641,0.00000368116,0.001018696],"genre_scores_gemma":[0.9991596,0.0001558183,0.0001300855,0.00002816096,0.00001287193,0.00000740974,0.0002873621,9.446463e-7,0.0002177178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006624368,"threshold_uncertainty_score":0.01317161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571311236204157,"score_gpt":0.3532723981383872,"score_spread":0.3275592857763456,"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."}}