{"id":"W2600561042","doi":"","title":"Modelling of glucose-insulin-glucagon pharmacodynamics in man","year":2016,"lang":"en","type":"article","venue":"International Conference of the IEEE Engineering in Medicine and Biology Society","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pharmacodynamics; Glucagon; Insulin; Glucagon-like peptide-1; Endocrinology; Internal medicine; Diabetes mellitus; Medicine; Pharmacokinetics; Type 2 diabetes","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":[0.0005622834,0.0005043669,0.000626378,0.0002732487,0.0001814401,0.000585754,0.0005301092,0.0007839174,0.0009633205],"category_scores_gemma":[0.001927023,0.0003527257,0.0005707562,0.0003557919,0.0005087388,0.0003935579,0.0003513127,0.0004913044,0.0002737381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919895,"about_ca_system_score_gemma":0.00072593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005442381,"about_ca_topic_score_gemma":0.002255642,"domain_scores_codex":[0.9996908,0.0001522057,0.00001311781,0.00005905418,0.0000505005,0.00003432058],"domain_scores_gemma":[0.9994041,0.0003969196,0.00007363634,0.00004846102,0.0000485024,0.00002846753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004979998,0.00001623882,0.001595604,0.00001106141,0.00002145227,0.00006102831,0.00003080516,0.994274,0.0009810477,0.001310172,0.00004644485,0.001602318],"study_design_scores_gemma":[0.00001329022,0.00006600154,0.0009718908,0.000004379901,0.00001186679,0.0000635549,0.000008066218,0.9954265,0.0006167638,0.002550549,0.0002564731,0.00001064302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3486529,0.0003684461,0.6456259,0.0003580608,0.00003632958,0.0001094173,0.0005145667,0.0004303215,0.003904081],"genre_scores_gemma":[0.982927,0.0002375152,0.0148607,0.00004456825,0.00001478167,0.0001142206,0.0001880438,0.00003143037,0.001581705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005442381,"threshold_uncertainty_score":0.0108214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0937341005261277,"score_gpt":0.3381466069579138,"score_spread":0.2444125064317861,"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."}}