{"id":"W2985780005","doi":"10.1016/j.nicl.2019.102079","title":"Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia","year":2019,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Frontotemporal dementia; Atrophy; Frontotemporal lobar degeneration; Neuroimaging; Medicine; Insula; Dementia; Clinical trial; Audiology; Disease; Neuroscience; Psychology; Internal medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001359146,0.00015573,0.0004877238,0.0003226869,0.00002648629,0.00002360786,0.0001438301,0.00008990787,0.001130885],"category_scores_gemma":[0.0001423324,0.0001351149,0.0001222103,0.0003446704,0.00007471057,0.0001509237,0.0001171223,0.0004432308,0.00008731494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113524,"about_ca_system_score_gemma":0.0001118448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001654765,"about_ca_topic_score_gemma":0.0001829429,"domain_scores_codex":[0.9974898,0.0003476916,0.0007415537,0.0004403429,0.0006622802,0.0003183763],"domain_scores_gemma":[0.9989432,0.0001606594,0.0001776936,0.0004087678,0.0001673279,0.0001423331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008494607,0.007221001,0.9874038,0.00007059704,0.00004663421,0.0003908911,0.00007018066,0.000002816788,0.0007789301,0.000002302791,0.0001551002,0.003008292],"study_design_scores_gemma":[0.009206275,0.009516158,0.9784201,0.00005555675,0.0001886681,0.00001374722,0.0003857692,0.00168958,0.0003043908,0.0000038512,0.0001104021,0.0001055434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970102,0.00002569385,0.0002026694,0.0003174391,0.0002637204,0.001428318,0.000008649571,0.00002635331,0.0007170077],"genre_scores_gemma":[0.9991177,0.00001219462,0.0003446873,0.0002268354,0.00006296085,0.00003500315,0.00004094501,0.00001939334,0.0001402391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008983736,"threshold_uncertainty_score":0.9997822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08540230020354024,"score_gpt":0.4161310302459864,"score_spread":0.3307287300424461,"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."}}