{"id":"W4385951037","doi":"10.30895/1991-2919-2023-535","title":"Metabolic model for laboratory control of anti-ischaemic therapy effectiveness: a case study of nicorandil","year":2023,"lang":"en","type":"article","venue":"The Bulletin of the Scientific Centre for Expert Evaluation of Medicinal Products Regulatory Research and Medicine Evaluation","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saint Petersburg State University","keywords":"Nicorandil; Asymmetric dimethylarginine; Citrulline; Arginine; Medicine; Nitric oxide; Vasodilation; Pharmacology; Internal medicine; Angina; Chemistry; Biochemistry; Amino acid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004659893,0.0007036529,0.0004536203,0.001100572,0.0007657099,0.0006469893,0.0005354737,0.001197804,0.000989183],"category_scores_gemma":[0.001317458,0.0002729768,0.0005470265,0.0003807171,0.000899383,0.0004783679,0.0004882137,0.001078778,0.000190271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008683586,"about_ca_system_score_gemma":0.0004039782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963848,"about_ca_topic_score_gemma":0.002162151,"domain_scores_codex":[0.9995251,0.0001357738,0.00004359436,0.0001093216,0.00009897095,0.00008718476],"domain_scores_gemma":[0.999459,0.0001408917,0.0001610563,0.00007186923,0.00005129869,0.0001158104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001123009,0.000881417,0.1560196,0.000137973,0.00009257123,0.8139258,0.001358314,0.0002847259,0.009556438,0.001023312,0.0005855125,0.01501133],"study_design_scores_gemma":[0.00003643698,0.001271808,0.05130192,0.00005125605,0.00009807998,0.9349234,0.0007268133,0.001859229,0.005998426,0.0002952613,0.003398528,0.00003882789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922941,0.001762033,0.001850986,0.000576598,0.00005776876,0.00009976808,0.00004231418,0.00002439,0.003292196],"genre_scores_gemma":[0.9977378,0.0006183864,0.0008643378,0.0001370352,0.00005265299,0.00001257388,0.00002408192,0.000007542398,0.0005455862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001963848,"threshold_uncertainty_score":0.006300449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127915800910109,"score_gpt":0.4211077252397774,"score_spread":0.2931919243296685,"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."}}