{"id":"W182973379","doi":"10.5665/sleep.4986","title":"Regional Cerebral Blood Flow during Wakeful Rest in Older Subjects with Mild to Severe Obstructive Sleep Apnea","year":2015,"lang":"en","type":"article","venue":"SLEEP","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal; Hôpital du Sacré-Cœur de Montréal; McGill Genome Centre; Canadian Sleep & Circadian Network; Université de Montréal","funders":"Canadian Institutes of Health Research; W. Garfield Weston Foundation; Fonds de Recherche du Québec - Santé; Garfield Weston Foundation","keywords":"Cerebral blood flow; Medicine; Obstructive sleep apnea; Cardiology; Precuneus; Statistical parametric mapping; Internal medicine; Anesthesia; Cerebral perfusion pressure; Psychology; Magnetic resonance imaging; Cognition; Psychiatry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002917083,0.0004116587,0.0005520771,0.0005742046,0.0001128592,0.00005015537,0.0003121646,0.0002037394,0.0001955593],"category_scores_gemma":[0.0002900204,0.0003549978,0.0001034186,0.001120936,0.0002117135,0.0002948994,0.0002385097,0.0007693056,0.0002335661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189694,"about_ca_system_score_gemma":0.0001240172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544002,"about_ca_topic_score_gemma":0.0006220125,"domain_scores_codex":[0.9962307,0.0001414574,0.0003972106,0.0009024129,0.00130633,0.001021852],"domain_scores_gemma":[0.9976734,0.00007149696,0.00008989358,0.0007561558,0.0004910597,0.0009180094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006312967,0.0009830429,0.9694156,0.0002746677,0.0005446702,0.002212438,0.007933993,0.00126241,0.003849949,0.0003469615,0.000370586,0.006492688],"study_design_scores_gemma":[0.0216269,0.001062646,0.955999,0.0002451204,0.0001791411,0.001256237,0.00378752,0.002002507,0.01249714,0.0002308885,0.0003686625,0.0007442392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919928,0.0001688354,0.00009317378,0.001732758,0.0002496516,0.001273086,0.0000241841,0.0001146522,0.004350885],"genre_scores_gemma":[0.9927962,0.000001735161,0.005555424,0.0002896478,0.0004738338,0.0001250334,0.00004967818,0.000104777,0.0006037067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531393,"threshold_uncertainty_score":0.9998902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324331872812141,"score_gpt":0.2689806725583645,"score_spread":0.2457373538302431,"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."}}