{"id":"W4399660841","doi":"10.1016/j.nicl.2024.103633","title":"Temporal and spatial progression of microstructural cerebral degeneration in ALS: A multicentre longitudinal diffusion tensor imaging study","year":2024,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Children’s Health Research Institute; University of Calgary; McGill University; Université Laval; University of Alberta; Hotchkiss Brain Institute; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Fondation Brain Canada; ALS Society of Canada","keywords":"Diffusion MRI; Fractional anisotropy; Corticospinal tract; Medicine; Neuroscience; Magnetic resonance imaging; Pathology; Psychology; Radiology","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":[0.001698308,0.0004192552,0.0002851118,0.0007447196,0.0006519041,0.000481526,0.0004404828,0.0005386732,0.0005425691],"category_scores_gemma":[0.002684987,0.0003732732,0.0004179974,0.0006126551,0.0004122258,0.000522124,0.0006360855,0.0003818667,0.0001937877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007026801,"about_ca_system_score_gemma":0.0007499876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410364,"about_ca_topic_score_gemma":0.01824699,"domain_scores_codex":[0.9993236,0.0001955103,0.00006143544,0.0002203756,0.0001091494,0.00008994369],"domain_scores_gemma":[0.9983577,0.0001432707,0.0008189061,0.0002118507,0.0002431926,0.0002250258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009453633,0.0001612244,0.9930286,0.00001336553,0.0002108934,0.0002984694,0.0006265556,0.0001238489,0.002080176,0.00002562605,0.00009305891,0.002392781],"study_design_scores_gemma":[0.00002102902,0.0001826535,0.9990482,0.000003522576,0.00003147898,0.0002520676,0.0000850041,0.0001816323,0.00009415938,0.00001568997,0.00007988702,0.000004573815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996819,0.00008726134,0.00007675732,0.00001761538,0.000001220734,0.000007311941,0.00008194013,0.000002326718,0.0000435945],"genre_scores_gemma":[0.9995341,0.0000326794,0.000159854,0.000007774648,0.000002956396,0.00001042368,0.0001736508,0.000001863644,0.00007666705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410364,"threshold_uncertainty_score":0.02804309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06727469614072727,"score_gpt":0.4267563444936048,"score_spread":0.3594816483528775,"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."}}