{"id":"W4288708960","doi":"10.1186/s12883-022-02819-7","title":"The correlation between enlarged perivascular spaces and cognitive impairment in Parkinson’s disease and vascular parkinsonism","year":2022,"lang":"en","type":"article","venue":"BMC Neurology","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parkinsonism; Medicine; Atrophy; Montreal Cognitive Assessment; Neurology; Internal medicine; Magnetic resonance imaging; Perivascular space; Parkinson's disease; Cohort; Pathology; Neurochemistry; Gastroenterology; Disease; Cognitive impairment; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614753,0.0003379317,0.0002954271,0.001219559,0.0003626011,0.0005486787,0.0003132354,0.0003389663,0.001712536],"category_scores_gemma":[0.002251339,0.0001975684,0.000225629,0.0007834892,0.0005971828,0.0004024188,0.0005345035,0.0003776044,0.0001478884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327581,"about_ca_system_score_gemma":0.000340686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002778193,"about_ca_topic_score_gemma":0.002431233,"domain_scores_codex":[0.9996829,0.00006855226,0.00005390853,0.00007482502,0.00007441349,0.00004551713],"domain_scores_gemma":[0.9978853,0.000416261,0.00110268,0.00008944046,0.0001900227,0.0003163192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085307,0.00001276739,0.9987219,0.00001039238,0.00002646303,0.0001670676,0.00003266122,0.00001933678,0.0001528704,0.000008630544,0.0000164067,0.0007228943],"study_design_scores_gemma":[0.000003152272,0.00004969093,0.9990125,0.000004498507,0.00001554093,0.0006837696,0.00006243038,0.00006015287,0.00004134672,0.00002615588,0.00003880874,0.000001945039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990796,0.0004583018,0.00003745469,0.00002317502,0.000003649608,0.000003789097,0.00007854678,0.000001918248,0.0003135029],"genre_scores_gemma":[0.9997067,0.0001047248,0.00004677284,0.000006396898,0.00001054372,0.00000215537,0.00007860395,4.552719e-7,0.00004375957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002778193,"threshold_uncertainty_score":0.00572896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660094911074007,"score_gpt":0.242060108552956,"score_spread":0.225459159442216,"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."}}