{"id":"W4392300793","doi":"10.1136/bmjopen-2023-075257","title":"Screening and early warning system for chronic obstructive pulmonary disease with obstructive sleep apnoea based on the medical Internet of Things in three levels of healthcare: protocol for a prospective, multicentre, observational cohort study","year":2024,"lang":"en","type":"article","venue":"BMJ Open","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Liquide (Canada)","funders":"Peking University Third Hospital; Peking University","keywords":"Medicine; COPD; Observational study; Polysomnography; Pulmonology; Population; Intensive care medicine; Epidemiology; Prospective cohort study; Internal medicine; Physical therapy; Emergency medicine","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":[0.01445716,0.002051383,0.00270296,0.002148563,0.002721775,0.001502933,0.001604105,0.002325013,0.01242202],"category_scores_gemma":[0.009759063,0.001564538,0.003313808,0.003094197,0.001264196,0.00166107,0.001551235,0.001969203,0.002318592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152002,"about_ca_system_score_gemma":0.009080458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006144972,"about_ca_topic_score_gemma":0.008418728,"domain_scores_codex":[0.9900491,0.00456563,0.002635762,0.001212982,0.0008126709,0.0007237259],"domain_scores_gemma":[0.9942795,0.0007056998,0.001375282,0.0009470168,0.002063932,0.0006285873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2197627,0.04274682,0.3912431,0.05302841,0.01174353,0.003270386,0.008032825,0.01058458,0.009085187,0.01250944,0.1284145,0.1095786],"study_design_scores_gemma":[0.1503488,0.06500906,0.5848225,0.01313384,0.006916801,0.001453266,0.007916236,0.01434571,0.004019012,0.009527132,0.1412569,0.001250732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.03510661,0.0006030065,0.007336207,0.000489884,0.0003447578,0.9351221,0.01934542,0.00008381291,0.001568342],"genre_scores_gemma":[0.01894164,0.0001593476,0.005238773,0.0002767597,0.00004005984,0.9713515,0.003638679,0.00000641993,0.0003467698],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.01445716,"threshold_uncertainty_score":0.07645762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08335246489118134,"score_gpt":0.3956998097674464,"score_spread":0.312347344876265,"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."}}