{"id":"W2901069064","doi":"10.1016/j.nicl.2018.11.007","title":"Biomarkers of Parkinson's disease: Striatal sub-regional structural morphometry and diffusion MRI","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Striatum; Putamen; White matter; Magnetic resonance imaging; Parkinson's disease; Diffusion MRI; Medicine; Dopaminergic; Globus pallidus; Caudate nucleus; Biomarker; Basal ganglia; Neuroscience; Psychology; Nuclear medicine; Pathology; Dopamine; Disease; Radiology; Chemistry; Central nervous system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133104,0.0005503159,0.0006235238,0.001538673,0.0001911074,0.0009007633,0.0004263913,0.0006487843,0.0004142401],"category_scores_gemma":[0.001402936,0.0002466664,0.000264617,0.0007009485,0.0003800343,0.0006792645,0.0004963391,0.0003688093,0.0001692186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787034,"about_ca_system_score_gemma":0.0001666714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007686456,"about_ca_topic_score_gemma":0.002114897,"domain_scores_codex":[0.9994869,0.0001569354,0.00005191172,0.0001588088,0.0001158443,0.0000295408],"domain_scores_gemma":[0.9993843,0.0001286548,0.0002511932,0.00006211699,0.00012067,0.00005306418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002363207,0.0002506928,0.5816548,0.0007321767,0.00111342,0.0004643097,0.0007058513,0.003180688,0.2545858,0.0007415485,0.0006011652,0.1536064],"study_design_scores_gemma":[0.00003383922,0.0008930896,0.9639953,0.00005581128,0.0002551035,0.00196167,0.0002521327,0.008031193,0.02207662,0.0008690945,0.001530223,0.00004590556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750845,0.007023634,0.01540942,0.0001265654,0.00002386864,0.0001071665,0.0004887705,0.0001986404,0.001537514],"genre_scores_gemma":[0.9828628,0.0009210348,0.01506625,0.00004910057,0.000023954,0.0000689544,0.000413227,0.00001612393,0.0005787003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538673,"threshold_uncertainty_score":0.005992472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297326165841588,"score_gpt":0.3429663870448736,"score_spread":0.2999931253864578,"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."}}