{"id":"W3092996651","doi":"10.1038/s41598-020-70297-3","title":"HARDI-ZOOMit protocol improves specificity to microstructural changes in presymptomatic myelopathy","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Neurological Disorders and Stroke; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Institut de Valorisation des Données; Agentura Pro Zdravotnický Výzkum České Republiky; Univerzita Palackého v Olomouci; Ministerstvo Školství, Mládeže a Tělovýchovy; Vysoké Učení Technické v Brně; Foundation for the National Institutes of Health; Ministerstvo Zdravotnictví Ceské Republiky; National Institutes of Health; Canada First Research Excellence Fund; Canada Research Chairs; Government of Canada; Central European Institute of Technology; National Institute of Biomedical Imaging and Bioengineering; Fonds de Recherche du Québec - Santé; University of Pennsylvania Health System; University of Pennsylvania","keywords":"Medicine; White matter; Diffusion MRI; Voxel; Magnetic resonance imaging; Spinal cord; Neuroradiology; Reproducibility; Nuclear medicine; Radiology; Neurology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002432973,0.000146509,0.0002433974,0.0001221486,0.0001104413,0.0001068044,0.0001189979,0.00003698314,0.00007109784],"category_scores_gemma":[0.0002023321,0.0001247445,0.00005594541,0.0006801416,0.0001110871,0.00008157546,0.0001338825,0.000156515,0.0000318661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005195279,"about_ca_system_score_gemma":0.00007351363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007745979,"about_ca_topic_score_gemma":0.000007030254,"domain_scores_codex":[0.9982437,0.00001578687,0.000396215,0.0007809399,0.0002862867,0.0002770858],"domain_scores_gemma":[0.9988359,0.00001185734,0.0001583781,0.0006684985,0.00008919603,0.000236153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004894544,0.00005967122,0.009885055,0.0001675566,0.000003753959,0.0003205093,0.000541766,0.000008568131,0.9615467,0.00003077547,0.01560312,0.01178358],"study_design_scores_gemma":[0.0003646782,0.0001796703,0.03660865,0.0001417157,0.00001478492,0.0003725623,0.00006561761,0.0004591453,0.5131174,0.002885644,0.4455268,0.0002633273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877438,0.00001176738,0.001749856,0.01667358,0.0006354025,0.1014414,0.000008729821,0.0006336612,0.00140758],"genre_scores_gemma":[0.9160993,7.121228e-7,0.03354412,0.001702492,0.0002380443,0.0466626,0.00003195666,0.00004780336,0.001673054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4484293,"threshold_uncertainty_score":0.5086932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05608075725010485,"score_gpt":0.3468046603573962,"score_spread":0.2907239031072913,"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."}}