{"id":"W3042486483","doi":"10.1016/j.nicl.2020.102353","title":"Cognitive and motor correlates of grey and white matter pathology in Parkinson’s disease","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; Dalsa Corporation","funders":"Canadian Institutes of Health Research; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Grey matter; Atrophy; Hyperintensity; Psychology; White matter; Parkinson's disease; Rating scale; Gait; Substantia nigra; Neuroscience; Cognitive decline; Cognition; Cardiology; Dementia; Internal medicine; Physical medicine and rehabilitation; Audiology; Medicine; Magnetic resonance imaging; Disease; Radiology; Developmental psychology","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":[0.0001092822,0.0001398343,0.0004094736,0.00004444418,0.00001877358,0.000009467917,0.00003290389,0.00007555392,0.0001102588],"category_scores_gemma":[0.0005917037,0.0001197076,0.00007727048,0.00006722091,0.0002034196,0.00005468628,0.00008843721,0.0002199198,0.0000366346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004128944,"about_ca_system_score_gemma":0.00003796709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000284986,"about_ca_topic_score_gemma":0.000001142542,"domain_scores_codex":[0.9987385,0.0001472619,0.0003673923,0.0004847947,0.0001033693,0.00015865],"domain_scores_gemma":[0.9991119,0.0002542844,0.00008890771,0.0001243756,0.00003673899,0.000383816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001827306,0.000361781,0.9919727,0.00007894095,0.0000253298,0.002738582,0.00009029829,5.599641e-8,0.0001170872,0.00000552776,0.0001215069,0.002660904],"study_design_scores_gemma":[0.004467899,0.0007602251,0.9931846,0.00007337719,0.0002253487,0.00003338272,0.00003475439,0.0004678583,0.00001630804,0.00009415201,0.0005587849,0.00008335218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963425,0.000557328,0.00002920357,0.002323936,0.00006728546,0.0003640763,0.0001234498,0.00001837157,0.0001738947],"genre_scores_gemma":[0.9946964,0.0003997202,0.0001458805,0.00460997,0.00004276958,0.00001680357,0.0000191244,0.00002006745,0.00004921002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002705199,"threshold_uncertainty_score":0.4881536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724370310016728,"score_gpt":0.3307775800039646,"score_spread":0.2835338769037973,"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."}}