{"id":"W2896640884","doi":"10.1016/j.jalz.2018.06.383","title":"P1‐375: UTILITY OF MRI IN THE ASSESSMENT OF AD/MCI: FINDINGS FROM THE ONTARIO NEURODEGENERATIVE DISEASE RESEARCH INITIATIVE (ONDRI) STUDY","year":2018,"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":"Centre for Addiction and Mental Health; Parkwood Institute; Élisabeth Bruyère Hospital; Baycrest Hospital; Cancer Care Ontario; Western University; University of Toronto; Robarts Clinical Trials; Occupational Cancer Research Centre; Health Sciences Centre; St. Michael's Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Magnetic resonance imaging; Atrophy; Neuroimaging; Disease; Neuropsychology; Cognitive impairment; Cognition; Alzheimer's Disease Neuroimaging Initiative; Cohort; Pathology; Radiology; Psychiatry","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":[0.001821007,0.0003632202,0.0003719518,0.0007240732,0.0009327928,0.0009481402,0.0008762697,0.0004810113,0.001181144],"category_scores_gemma":[0.00568402,0.0002107215,0.0005215406,0.00112527,0.0004904778,0.0005327709,0.0007282575,0.0003831009,0.0003312938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171248,"about_ca_system_score_gemma":0.002236889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3017117,"about_ca_topic_score_gemma":0.4115848,"domain_scores_codex":[0.9992865,0.0001337053,0.00009655165,0.00009433177,0.0003117082,0.00007713878],"domain_scores_gemma":[0.9983236,0.0002198123,0.0005962669,0.0001074573,0.0004274947,0.0003253719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004859769,0.00004377721,0.9955447,0.00004814735,0.0000714857,0.00008920455,0.0002325909,0.00003643578,0.0001133048,0.00002538218,0.0005110861,0.002797992],"study_design_scores_gemma":[0.00002537283,0.00006871045,0.9991147,0.00001353046,0.00004658115,0.00008937276,0.0001332839,0.00007184694,0.00002812324,0.00002469122,0.0003791551,0.000004730087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926571,0.0008427254,0.00006094465,0.0001953443,0.00001464289,0.0001805885,0.002539641,0.000004618051,0.003504346],"genre_scores_gemma":[0.9979455,0.0002265121,0.0001344676,0.00005112448,0.00001104228,0.00005412081,0.001186467,0.000001637646,0.0003891755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3017117,"threshold_uncertainty_score":0.5999112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1328920670295122,"score_gpt":0.4183514179157337,"score_spread":0.2854593508862214,"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."}}