{"id":"W4281789207","doi":"10.1093/sleep/zsac079.744","title":"0748 Proteomic Biomarkers of Obstructive Sleep Apnea","year":2022,"lang":"en","type":"article","venue":"SLEEP","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Klarman Family Foundation","keywords":"Obstructive sleep apnea; Polysomnography; Medicine; Internal medicine; Univariate analysis; Sleep apnea; Body mass index; Sleep (system call); Bioinformatics; Apnea; Oncology; Biology; Multivariate analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004270073,0.0002117078,0.0004181308,0.0004123973,0.0002179814,0.00001054957,0.0003223289,0.00006816921,0.002854791],"category_scores_gemma":[0.0002025944,0.0002096052,0.0002135684,0.000846204,0.0003225606,0.0000958716,0.0004631339,0.0005344075,0.00007208182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250787,"about_ca_system_score_gemma":0.00006166521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009042023,"about_ca_topic_score_gemma":0.000002294813,"domain_scores_codex":[0.9973853,0.000202327,0.0004019216,0.0004846407,0.001017808,0.0005080491],"domain_scores_gemma":[0.9987193,0.000065001,0.0001768245,0.0006249055,0.0002066473,0.0002073404],"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":[0.004691116,0.001298124,0.1890788,0.0005113012,0.002185464,0.00043295,0.002628401,0.0002380217,0.5606986,0.003488215,0.0007431345,0.2340059],"study_design_scores_gemma":[0.01971987,0.005277794,0.5290222,0.00006497789,0.0008742103,0.001101625,0.0136384,0.02572632,0.3864461,0.004101807,0.01252307,0.001503564],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859207,0.0002337152,0.000432465,0.0006998058,0.0004986027,0.001518084,0.0001006302,0.00008342248,0.01051256],"genre_scores_gemma":[0.9969271,0.000001889875,0.002184218,0.00008835363,0.0001033992,0.000294585,0.00005362676,0.00005691771,0.0002898826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3399434,"threshold_uncertainty_score":0.9980567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582478657534905,"score_gpt":0.279053223412296,"score_spread":0.263228436836947,"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."}}