{"id":"W4229780765","doi":"10.1002/jmri.26662","title":"The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts","year":2019,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; Sunnybrook Health Science Centre; Université de Sherbrooke; Western University; University of Toronto; Toronto Metropolitan University; Montreal Neurological Institute and Hospital; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Université Laval; University of Calgary; McGill University","funders":"","keywords":"Library science; Humanities; Gerontology; Medicine; Art; Computer science","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":[0.05735834,0.001826854,0.002443746,0.009958509,0.007132786,0.00452073,0.008513371,0.002412891,0.009900952],"category_scores_gemma":[0.07886039,0.001766498,0.003361398,0.01403897,0.001515544,0.001674165,0.00445554,0.003375159,0.003352674],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0567215,"about_ca_system_score_gemma":0.200104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9297649,"about_ca_topic_score_gemma":0.9397781,"domain_scores_codex":[0.9737114,0.008154546,0.005266916,0.001957257,0.007390676,0.003519271],"domain_scores_gemma":[0.9219282,0.004984326,0.003185779,0.007768134,0.05825499,0.003878622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004700321,0.0007915296,0.08267631,0.002941634,0.001069294,0.0004528092,0.003443828,0.00513041,0.001478474,0.02383326,0.7837377,0.0897445],"study_design_scores_gemma":[0.002642837,0.0003887936,0.4156589,0.003453235,0.0009504062,0.0004763513,0.002103003,0.002502212,0.00196382,0.003854082,0.5654302,0.0005762334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.05401292,0.003660779,0.05508861,0.01027935,0.002917094,0.2049018,0.5960102,0.002350032,0.0707792],"genre_scores_gemma":[0.1062006,0.004678262,0.1419213,0.0093271,0.0004973105,0.2336794,0.4776074,0.001328447,0.02476027],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9432785,"threshold_uncertainty_score":0.4115452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744757595589986,"score_gpt":0.3094809585869583,"score_spread":0.2920333826310584,"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."}}