{"id":"W2099866837","doi":"10.1002/cjce.20219","title":"A comparative study of different types of controllers used for blood glucose regulation system","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Diabetes Management and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Controller (irrigation); Control theory (sociology); Blood sugar regulation; Insulin delivery; Nonlinear system; Range (aeronautics); Type (biology); Insulin; Control (management); Mathematics; Computer science; Medicine; Control engineering; Endocrinology; Diabetes mellitus; Type 1 diabetes; Engineering; Artificial intelligence; Physics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000593988,0.000384193,0.0004217958,0.000672225,0.0003094982,0.000636043,0.00059156,0.0004536644,0.001888126],"category_scores_gemma":[0.00162001,0.0001726634,0.0004312673,0.0002650587,0.0001856412,0.0003119415,0.000231874,0.0002337711,0.0002949132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922988,"about_ca_system_score_gemma":0.0002231028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681291,"about_ca_topic_score_gemma":0.001041462,"domain_scores_codex":[0.9994246,0.0001330264,0.00006384547,0.00008679307,0.0002343469,0.00005742962],"domain_scores_gemma":[0.999067,0.0003684291,0.00009042703,0.0001195571,0.000322452,0.00003218177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006235,0.0007755459,0.007240125,0.002181074,0.0008550521,0.0005028284,0.0005257514,0.1356902,0.2756243,0.003021145,0.001590265,0.5657587],"study_design_scores_gemma":[0.000503513,0.01476206,0.02579445,0.0001874943,0.001103915,0.0008154441,0.0005376468,0.5214336,0.4193029,0.001235786,0.01415281,0.000170416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277217,0.003441994,0.1519895,0.0001372114,0.0002737337,0.0003005772,0.0002398452,0.001707763,0.01418778],"genre_scores_gemma":[0.9887424,0.0003482567,0.009311411,0.00002502892,0.00001625169,0.00005226878,0.00009237041,0.00001909524,0.001392967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001888126,"threshold_uncertainty_score":0.006316423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865064955453727,"score_gpt":0.2517888991245426,"score_spread":0.2331382495700053,"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."}}