{"id":"W3203227088","doi":"10.1093/brain/awab375","title":"Personalized brain models identify neurotransmitter receptor changes in Alzheimer's disease","year":2021,"lang":"en","type":"article","venue":"Brain","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"DoD Alzheimer's Disease Neuroimaging Initiative; National Institute on Aging; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Fondation Brain Canada; U.S. Department of Defense","keywords":"Neuroscience; Neuroimaging; Psychology; Alzheimer's disease; Functional neuroimaging; Neurotransmitter receptor; Disease; Medicine; Receptor; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001082983,0.0008191004,0.0009116795,0.000470216,0.000182246,0.0006683204,0.001052187,0.0008937569,0.001824803],"category_scores_gemma":[0.002240296,0.0004739146,0.001541394,0.0003030832,0.0005561284,0.0007434829,0.000649954,0.00115939,0.0002676492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008997691,"about_ca_system_score_gemma":0.000663907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007482709,"about_ca_topic_score_gemma":0.008856885,"domain_scores_codex":[0.999694,0.0001406829,0.000009832638,0.00009199815,0.00002916714,0.0000342368],"domain_scores_gemma":[0.9994121,0.0003790231,0.00008589035,0.00005717724,0.00003717778,0.00002867943],"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":[0.0002297784,0.0001101158,0.008826082,0.00009956111,0.0004785706,0.0003459565,0.00020501,0.9360433,0.005116792,0.02368736,0.001084035,0.0237734],"study_design_scores_gemma":[0.00003117122,0.00008332388,0.004613931,0.00001450452,0.0001281406,0.0001899142,0.00002662737,0.9662507,0.0005363538,0.0272515,0.0008535124,0.00002033292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4867698,0.001030504,0.5057868,0.001210301,0.00006819084,0.0001042565,0.0009336415,0.0005955343,0.003500999],"genre_scores_gemma":[0.9507217,0.0006474272,0.04324014,0.0003099962,0.00006975429,0.0001518808,0.0006048369,0.0001301366,0.004124222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007482709,"threshold_uncertainty_score":0.01487833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08085487065328209,"score_gpt":0.3054145045767896,"score_spread":0.2245596339235076,"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."}}