{"id":"W2148466603","doi":"10.1002/mds.25820","title":"Patterns of cortical thinning in idiopathic rapid eye movement sleep behavior disorder","year":2014,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research","keywords":"White matter; REM sleep behavior disorder; Parasomnia; Lingual gyrus; Psychology; Rapid eye movement sleep; Diffusion MRI; Polysomnography; Dementia with Lewy bodies; Neuroscience; Magnetic resonance imaging; Dementia; Eye movement; Medicine; Pathology; Electroencephalography; Functional magnetic resonance imaging; Disease; Radiology","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":[0.0002310222,0.0001782234,0.0002993644,0.000129545,0.00005749308,0.000007974192,0.0001331446,0.0000540299,0.00009134744],"category_scores_gemma":[0.00005231211,0.0001689414,0.00009503467,0.0001796669,0.00005613265,0.0000574526,0.00009091281,0.0002629689,0.000004554351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005518138,"about_ca_system_score_gemma":0.0000146404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453493,"about_ca_topic_score_gemma":0.00005694246,"domain_scores_codex":[0.9985594,0.00004333568,0.0004670147,0.0003397603,0.0002939845,0.0002965254],"domain_scores_gemma":[0.9992768,0.00003061638,0.0001194607,0.0004564874,0.00003577105,0.00008090599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003416544,0.001059202,0.9427744,0.00009330062,0.00001196056,0.000003091613,0.0001619948,0.00009154632,0.009868225,0.004861414,0.00008208062,0.04095862],"study_design_scores_gemma":[0.001852482,0.0005133842,0.9743252,0.0001858251,0.00007343492,1.942372e-7,0.0003697057,0.004219809,0.00418451,0.01222658,0.001797982,0.0002508599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095368,0.0001343281,0.08419157,0.003992123,0.00005309943,0.001024939,0.000009548976,0.0001315297,0.0009261038],"genre_scores_gemma":[0.9929001,0.0001684619,0.0015902,0.004779169,0.00002112482,0.0003907915,0.00002305396,0.00003568633,0.0000914265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08336332,"threshold_uncertainty_score":0.6889231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299642449875507,"score_gpt":0.3164792220911287,"score_spread":0.2934827975923736,"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."}}