{"id":"W3117441198","doi":"10.1016/j.parkreldis.2020.06.073","title":"Molecular imaging correlates of sleep dysfunction in Parkinson's disease (PD)","year":2020,"lang":"en","type":"article","venue":"Parkinsonism & Related Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF; University of British Columbia","funders":"","keywords":"Parkinson's disease; Positron emission tomography; Neuroscience; Sleep (system call); Binding potential; In vivo; Alpha-synuclein; Tau pathology; Medicine; Disease; Psychology; Internal medicine; Pathology; Biology; Genetics; Alzheimer's disease; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002203869,0.0002794442,0.0001825516,0.001058159,0.0002017415,0.000591143,0.0003513689,0.0005946876,0.002024195],"category_scores_gemma":[0.0005911782,0.0002183164,0.0002073585,0.0005049331,0.0003343777,0.0004736655,0.0002309685,0.0003964616,0.0002356489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354128,"about_ca_system_score_gemma":0.0001512913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486325,"about_ca_topic_score_gemma":0.003351008,"domain_scores_codex":[0.9999559,0.000009752154,0.000004510655,0.00001000217,0.000007876452,0.00001199674],"domain_scores_gemma":[0.999733,0.00005394244,0.0001301099,0.000008682893,0.00004369188,0.00003039696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004852989,0.0003654878,0.5359594,0.0008160845,0.00062993,0.007313768,0.0004016468,0.001046272,0.3446089,0.001543591,0.00217974,0.1002823],"study_design_scores_gemma":[0.00008348828,0.0009319705,0.9535537,0.0001164298,0.0003008468,0.01248228,0.0004554059,0.001855649,0.02677513,0.001443684,0.0019763,0.0000252257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732101,0.01698104,0.001680503,0.0004911596,0.00003455612,0.0000377866,0.0003663397,0.00004209221,0.007156298],"genre_scores_gemma":[0.9943154,0.002907207,0.001305895,0.0001359733,0.00003920155,0.00001767472,0.0002226389,0.000009069204,0.0010467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002486325,"threshold_uncertainty_score":0.006771624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006731912532171999,"score_gpt":0.2216445863966108,"score_spread":0.2149126738644388,"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."}}