{"id":"W2963175481","doi":"10.1016/j.nicl.2019.101943","title":"The Canadian Dementia Imaging Protocol: Harmonization validity for morphometry measurements","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Baycrest Hospital; Hotchkiss Brain Institute; Sunnybrook Health Science Centre; Western University; University of Toronto; Université de Sherbrooke; University of Calgary; McGill University; Montreal Neurological Institute and Hospital; Institut Universitaire en Santé Mentale de Québec; Université de Montréal; Robarts Clinical Trials","funders":"Canadian Institutes of Health Research; Partenariat Canadien Contre Le Cancer; Government of Ontario; Deakin University; Alzheimer's Society; Consortium canadien en neurodégénérescence associée au vieillissement; Strong; Fonds de Recherche du Québec - Santé; Pfizer Canada; Pfizer; Ontario Brain Institute; Heart and Stroke Foundation of Canada; Alzheimer's Disease Neuroimaging Initiative","keywords":"Protocol (science); Dementia; Neuroimaging; Neurodegeneration; Variance (accounting); Psychology; Medicine; Neuroscience; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07037471,0.0009728544,0.001149391,0.00534995,0.005500096,0.003420371,0.004686913,0.001320348,0.007839049],"category_scores_gemma":[0.1222576,0.001078988,0.001789501,0.00580037,0.002326622,0.001451338,0.002803943,0.00208115,0.002564901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01979383,"about_ca_system_score_gemma":0.07582489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4475364,"about_ca_topic_score_gemma":0.5853135,"domain_scores_codex":[0.9567707,0.01804212,0.007856834,0.002327845,0.01323689,0.001765658],"domain_scores_gemma":[0.836381,0.01265591,0.004790299,0.01752618,0.1268212,0.001825386],"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":[0.005980066,0.001153908,0.09052233,0.005469847,0.0009459673,0.001134113,0.0127802,0.006061438,0.01568409,0.02886871,0.3155254,0.515874],"study_design_scores_gemma":[0.001288388,0.0007420057,0.4261307,0.00261412,0.0005076836,0.0009656264,0.003514235,0.01057494,0.01220402,0.006177464,0.5345587,0.0007221174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1670532,0.005042663,0.3297153,0.007538923,0.004159025,0.3026015,0.06358526,0.005592373,0.1147117],"genre_scores_gemma":[0.1788523,0.002108451,0.5728409,0.002587641,0.0003167973,0.1860901,0.03449709,0.002032634,0.02067399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5524636,"threshold_uncertainty_score":0.8898629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863564152789827,"score_gpt":0.4499581210097047,"score_spread":0.2636017057307219,"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."}}