{"id":"W3201385250","doi":"10.1007/s11682-021-00543-3","title":"Tipping the scales: how clinical assessment shapes the neural correlates of Parkinson’s disease mild cognitive impairment","year":2021,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Fundació la Marató de TV3","keywords":"Default mode network; Montreal Cognitive Assessment; Precuneus; Psychology; Neuropsychology; Betweenness centrality; Neuroimaging; Voxel-based morphometry; Parkinson's disease; Cognition; Audiology; Neuroscience; Medicine; Internal medicine; Disease; Magnetic resonance imaging; Cognitive impairment; White matter; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003442454,0.0001916982,0.0002781239,0.00003360727,0.0002485027,0.00008430475,0.00007922313,0.00003279793,0.00004461554],"category_scores_gemma":[0.0001302113,0.0001070829,0.0002260616,0.0001114188,0.0002694514,0.00006815833,0.000112323,0.0002267014,0.000002848335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003109529,"about_ca_system_score_gemma":0.0001552157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733963,"about_ca_topic_score_gemma":0.000006576474,"domain_scores_codex":[0.9985867,0.0002212126,0.0002639668,0.0003773108,0.0002997428,0.0002511039],"domain_scores_gemma":[0.9988567,0.0004266903,0.0001264808,0.0002315032,0.0001256788,0.0002329917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145555,0.001113665,0.9475408,0.00004188929,0.0001121205,0.0005191801,0.0001622912,4.186338e-7,0.0002327771,0.0000306123,0.000641252,0.04949046],"study_design_scores_gemma":[0.002258546,0.0001087007,0.9907067,0.0003040864,0.001460967,0.00008440522,0.001808745,0.002038254,0.0001313521,0.00003908774,0.0009421128,0.000117049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823759,0.003841255,0.0001073015,0.0127183,0.0002095988,0.0005680124,0.00009943484,0.0000340935,0.00004616259],"genre_scores_gemma":[0.9973166,0.0002569216,0.0001940186,0.001595701,0.000112991,0.0001498466,0.00005767115,0.00002071968,0.0002955221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04937341,"threshold_uncertainty_score":0.4366713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371867226025675,"score_gpt":0.3458030690465771,"score_spread":0.3120843967863203,"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."}}