{"id":"W2765825720","doi":"10.1016/j.jalz.2017.06.1942","title":"[P4–077]: ALZHEIMER's BIOMARKERS INTERACT DYNAMICALLY TO PREDICT COGNITIVE TRAJECTORIES DIFFERENTIALLY FOR COGNITIVELY EXCEPTIONAL, NORMAL, AND IMPAIRED GROUPS","year":2017,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognition; Effects of sleep deprivation on cognitive performance; Biomarker; Cognitive decline; Moderation; Psychology; Oncology; Cognitive test; Disease; Audiology; Medicine; Internal medicine; Gerontology; Dementia; Neuroscience; Biology","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":[0.003964456,0.0007934902,0.000685938,0.000670662,0.0007904943,0.002691136,0.001883926,0.002524418,0.07638618],"category_scores_gemma":[0.01924287,0.0004443257,0.00101653,0.002164878,0.0007026484,0.0009180155,0.001115283,0.001878384,0.01431509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009521201,"about_ca_system_score_gemma":0.005067974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.041212,"about_ca_topic_score_gemma":0.04097736,"domain_scores_codex":[0.9989373,0.0005065523,0.00007640004,0.0002054923,0.0002036112,0.0000706194],"domain_scores_gemma":[0.9952501,0.001649249,0.0004965143,0.0003952891,0.001732354,0.0004765496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003507927,0.0006464585,0.1512041,0.001057855,0.0006738903,0.0005203189,0.0006665752,0.003682079,0.001876134,0.01329979,0.600547,0.222318],"study_design_scores_gemma":[0.001840991,0.001926159,0.6570947,0.001717858,0.0008636093,0.001417827,0.0006642976,0.03555346,0.001571495,0.03071484,0.2664624,0.0001722633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2955268,0.006238094,0.06720109,0.1786875,0.02504036,0.004953724,0.1573558,0.004453524,0.2605431],"genre_scores_gemma":[0.6262522,0.002900911,0.03213565,0.01866665,0.00525474,0.004324737,0.08642825,0.001242539,0.2227943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07638618,"threshold_uncertainty_score":0.2555372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920026891902717,"score_gpt":0.2886742989109718,"score_spread":0.2594740299919446,"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."}}