{"id":"W3093375785","doi":"10.1016/j.conengprac.2020.104653","title":"Safety enforcement in closed-loop anesthesia—A comparison study","year":2020,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Model predictive control; Control theory (sociology); Closed loop; Control (management); Computer science; Governor; Patient safety; Clinical Practice; Medicine; Anesthesia; Control engineering; Engineering; Artificial intelligence; Health care","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":[0.004893554,0.0003694179,0.0005680185,0.001064132,0.0004427337,0.0009698384,0.0007219105,0.0007791311,0.004467515],"category_scores_gemma":[0.02686521,0.0001629067,0.0006957743,0.0005480207,0.0008936879,0.001497976,0.0007775445,0.0007475462,0.0003474077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008030598,"about_ca_system_score_gemma":0.0009490033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444115,"about_ca_topic_score_gemma":0.0006448191,"domain_scores_codex":[0.9965584,0.001568276,0.0003638229,0.0003944387,0.0008851383,0.000229804],"domain_scores_gemma":[0.9575213,0.03147731,0.003255273,0.002273551,0.004648917,0.0008237229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.166174,0.04580306,0.1716696,0.003565412,0.002163301,0.001065133,0.004046066,0.02517593,0.02604823,0.008782928,0.002224857,0.5432816],"study_design_scores_gemma":[0.01282648,0.4139815,0.4171737,0.0006074274,0.002889118,0.002368334,0.006829532,0.09287412,0.03396108,0.005797575,0.0103982,0.0002929047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994144,0.0004304212,0.002848554,0.00003706804,0.00004092007,0.0001096332,0.00006458402,0.00001976762,0.002305006],"genre_scores_gemma":[0.9983612,0.0002280355,0.0007580961,0.00002706887,0.0000239281,0.00002957712,0.00009716942,0.000005980969,0.000468987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004893554,"threshold_uncertainty_score":0.02587992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633445057175626,"score_gpt":0.2980243365166435,"score_spread":0.2716898859448872,"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."}}