{"id":"W4415677184","doi":"10.1162/imag.a.1015","title":"Parkinson’s disease in the spinal cord: An exploratory study to establish T2*w, MTR and diffusion-weighted imaging metric values","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Fondation Brain Canada","keywords":"Spinal cord; Diffusion MRI; Disease; Degenerative disease; Central nervous system disease; Metric (unit); Neurite; Magnetic resonance imaging","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":[0.0004612583,0.0002428022,0.0002369705,0.0007269183,0.0003649166,0.0003045958,0.0003698056,0.000009243051,0.000003916716],"category_scores_gemma":[0.000475973,0.0001755088,0.0000446275,0.001955018,0.0001427892,0.0005069867,0.0002292548,0.0001707933,0.000004207165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720463,"about_ca_system_score_gemma":0.0002147001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001012381,"about_ca_topic_score_gemma":0.00001235987,"domain_scores_codex":[0.9976668,0.0002072404,0.0002400643,0.0008818979,0.0005758579,0.0004281018],"domain_scores_gemma":[0.9987299,0.00006134856,0.00005691744,0.0006054456,0.00007166214,0.0004747116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005323431,0.002176741,0.9688215,0.00002892324,0.000003801068,0.001536184,0.001004559,0.000002507385,0.002110867,0.00008103676,0.0001885234,0.02351296],"study_design_scores_gemma":[0.001475834,0.0004364169,0.9849746,0.0001336933,0.000109849,0.00001710427,0.002637124,0.006145809,0.00009287243,0.0004030745,0.003403423,0.0001702233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995239,0.001062244,0.0005071538,0.001589702,0.0004372442,0.0009290698,0.00001092471,0.00008806019,0.0001366417],"genre_scores_gemma":[0.9929635,0.0000486227,0.0001570827,0.00659747,0.00003487116,0.0001177241,0.000002924672,0.00001644047,0.00006135199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02334274,"threshold_uncertainty_score":0.715704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268993890435768,"score_gpt":0.3226993589175494,"score_spread":0.3000094200131917,"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."}}