{"id":"W2981148387","doi":"10.1016/j.jalz.2019.06.3363","title":"P3‐331: FREQUENCY‐DEPENDENT RESTING‐STATE BRAIN ACTIVITY MAPPING: COMPARING HEALTHY ELDERLY TO MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASE","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Toronto Western Hospital; Parkwood Institute; University Health Network; University of Toronto; Ontario Brain Institute; Baycrest Hospital; Robarts Clinical Trials; Lawson Health Research Institute; Sunnybrook Health Science Centre; Western University","funders":"","keywords":"Resting state fMRI; Metric (unit); Cognitive impairment; Neuroscience; Frequency band; Psychology; Support vector machine; Alzheimer's disease; Cognition; Audiology; Disease; Medicine; Computer science; Internal medicine; Artificial intelligence; Bandwidth (computing); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003480507,0.0004086469,0.0002623776,0.0004598323,0.0001285816,0.0003978244,0.0001837063,0.0003410051,0.002294401],"category_scores_gemma":[0.001245187,0.00007182841,0.00024045,0.000432354,0.0001891863,0.0002719481,0.0002742276,0.0001664754,0.0004461761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009672272,"about_ca_system_score_gemma":0.0001463678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319554,"about_ca_topic_score_gemma":0.001214518,"domain_scores_codex":[0.999918,0.00002032212,0.000005948136,0.00002334386,0.00002055953,0.00001183557],"domain_scores_gemma":[0.9998375,0.0000606166,0.00002823785,0.0000134464,0.00003120793,0.00002886284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01169337,0.0005581867,0.1669168,0.001173752,0.0005822351,0.001698103,0.0009363731,0.006404639,0.2776351,0.001084123,0.005763079,0.5255542],"study_design_scores_gemma":[0.00008362863,0.001542112,0.9591263,0.00003269879,0.0001442277,0.002316143,0.0002124759,0.01741512,0.01507358,0.001352325,0.002661101,0.00004032075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776435,0.0008660181,0.01642927,0.00009301066,0.00004134856,0.00014338,0.001475986,0.0001920302,0.003115339],"genre_scores_gemma":[0.9943264,0.0002131356,0.003926045,0.00002298896,0.00003391071,0.00007452978,0.0007469768,0.00001934794,0.0006366514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002294401,"threshold_uncertainty_score":0.007675529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546603176861177,"score_gpt":0.2997944300431433,"score_spread":0.2343283982745315,"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."}}