{"id":"W2910521559","doi":"10.1016/j.sleep.2018.12.021","title":"Using a modified version of the “STOP-BANG” questionnaire and nocturnal oxygen desaturation to predict obstructive sleep apnea after stroke or TIA","year":2019,"lang":"en","type":"article","venue":"Sleep Medicine","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Heart and Stroke Foundation; Health Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Nocturnal; Medicine; Stroke (engine); Apnea; Obstructive sleep apnea; Cardiology; Anesthesia; Sleep apnea; Physical therapy; Internal medicine; Physics","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":[0.000397005,0.0002748011,0.000504682,0.000319569,0.0001155467,0.00001440077,0.0001966651,0.0001722873,0.0004248085],"category_scores_gemma":[0.0006180728,0.0001616409,0.00009062673,0.0005408618,0.0003742276,0.0001987707,0.0002015476,0.0004618592,0.00001989201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655294,"about_ca_system_score_gemma":0.00007195248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001550066,"about_ca_topic_score_gemma":0.00002988351,"domain_scores_codex":[0.9974588,0.0001564458,0.000456585,0.0004758353,0.001060933,0.0003914292],"domain_scores_gemma":[0.998349,0.0001110772,0.0001856397,0.0005652884,0.0004776513,0.000311381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01644416,0.0002347013,0.4317718,0.0009772335,0.0008327893,0.0001105899,0.007483906,0.0007366273,0.4813575,0.0004143215,0.0002312378,0.05940514],"study_design_scores_gemma":[0.008407214,0.001828096,0.9337577,0.001111129,0.0006157699,0.0003118212,0.002104792,0.03530184,0.01586405,0.0001376721,0.0002596171,0.0003003264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921435,0.0004277108,0.002745405,0.001620494,0.0008241829,0.001541672,0.00003636399,0.00003424063,0.0006265003],"genre_scores_gemma":[0.9975525,0.000008213578,0.001280144,0.0003290387,0.0003875708,0.00002473385,0.00001441677,0.00003895127,0.0003644303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5019859,"threshold_uncertainty_score":0.6591527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900520080825434,"score_gpt":0.2904420119696712,"score_spread":0.2714368111614169,"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."}}