{"id":"W4214747130","doi":"10.1155/2022/3972173","title":"An Updated Overview of the Magnetic Resonance Imaging of Brain Iron in Movement Disorders","year":2022,"lang":"en","type":"review","venue":"Behavioural Neurology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Perugia; School of Medicine, New York University; York University","keywords":"Basal ganglia; Magnetic resonance imaging; Movement disorders; Neuroscience; Functional magnetic resonance imaging; Degeneration (medical); Iron levels; Medicine; Nuclear magnetic resonance; Pathology; Psychology; Central nervous system; Physics; Internal medicine; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001321821,0.0003320962,0.001323386,0.0001524121,0.0000392047,0.000002917327,0.0003842242,0.0001351686,0.0007916656],"category_scores_gemma":[0.00003358643,0.0002158048,0.0003965425,0.0004538217,0.0001961449,0.00002693485,0.000229975,0.0006150664,0.000001900607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002755391,"about_ca_system_score_gemma":0.00008460108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004146993,"about_ca_topic_score_gemma":0.0001405899,"domain_scores_codex":[0.9974676,0.0006998694,0.00074048,0.0005093096,0.0002634733,0.0003192493],"domain_scores_gemma":[0.998771,0.0001037793,0.0003808573,0.0006722712,0.0000138584,0.00005829578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001139757,0.001303173,0.1451728,0.0009941265,0.00001195175,0.0001650031,0.00002092779,0.000001440237,0.000007544601,0.00009661421,0.0002719243,0.8518405],"study_design_scores_gemma":[0.002661904,0.00459329,0.4901328,0.0006288136,0.001225742,0.00005095324,0.000009716749,0.00002492306,0.000001847307,0.000637989,0.4996965,0.0003354926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05146273,0.9456681,7.642059e-8,0.0011473,0.0001657032,0.001342755,0.00009860397,0.00001582967,0.00009890403],"genre_scores_gemma":[0.0154325,0.9810408,0.000006734364,0.003089499,0.000006973006,0.0001446563,0.0001713584,0.00004804817,0.00005945206],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.851505,"threshold_uncertainty_score":0.8800264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793028830560616,"score_gpt":0.3382398875384391,"score_spread":0.2803095992328329,"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."}}