{"id":"W3153152005","doi":"10.52584/qrj.1802.20","title":"The Automatic Oxygen Saturation Control System by Adaptive Learning Controller for COVID-19 Patients","year":2020,"lang":"en","type":"article","venue":"Quaid-e-Awam University Research Journal of Engineering Science & Technology","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"PID controller; Coronavirus disease 2019 (COVID-19); Saturation (graph theory); Oxygen saturation; Oxygen; Controller (irrigation); Computer science; Anesthesia; Control theory (sociology); Medicine; Control (management); Artificial intelligence; Control engineering; Engineering; Mathematics; Chemistry; Internal medicine; Temperature control; Disease; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.002423086,0.0001246956,0.0003347815,0.001049652,0.001093867,0.00003285722,0.0006992813,0.000221579,0.000001603439],"category_scores_gemma":[0.007701593,0.00009897575,0.00008239593,0.001938116,0.0007044013,0.0002492294,0.00009672143,0.001280503,0.000004346553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175803,"about_ca_system_score_gemma":0.0008510869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109287,"about_ca_topic_score_gemma":0.000001226114,"domain_scores_codex":[0.9979753,0.0001229934,0.0003440932,0.0002474928,0.0007101602,0.0005999305],"domain_scores_gemma":[0.9969882,0.0007860687,0.0002434729,0.0001619838,0.001379882,0.0004404132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0170872,0.0009938836,0.3445294,0.003797586,0.002140511,0.001154093,0.008454118,0.08059237,0.2042268,0.1359741,0.01717628,0.1838736],"study_design_scores_gemma":[0.02299014,0.02321627,0.005993227,0.000908981,0.0002449776,0.0002893893,0.03570348,0.805969,0.00559235,0.0002236567,0.09820848,0.0006600809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8417732,0.0004587718,0.1319183,0.02364574,0.0003056223,0.001404695,0.00001355214,0.0004082721,0.00007180782],"genre_scores_gemma":[0.9988292,0.00003136415,0.0009819685,0.00004518337,0.00005864151,0.000004472806,0.000001208854,0.00001079207,0.0000371808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7253766,"threshold_uncertainty_score":0.9220083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007047951368074,"score_gpt":0.3221013432071079,"score_spread":0.2820308636934271,"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."}}