{"id":"W4220721294","doi":"10.1007/s11010-021-04337-5","title":"Identifying simultaneous matrix metalloproteinases/soluble epoxide hydrolase inhibitors","year":2022,"lang":"en","type":"article","venue":"Molecular and Cellular Biochemistry","topic":"Eicosanoids and Hypertension Pharmacology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Epoxide hydrolase 2; Chemistry; Matrix metalloproteinase; Zymography; Recombinant DNA; Enzyme; Matrix metalloproteinase inhibitor; Biochemistry; Pharmacology; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002924237,0.0003175734,0.0002640024,0.00006428808,0.0004276891,0.00005396825,0.000307703,0.0001718692,0.0001909303],"category_scores_gemma":[0.00006846918,0.0003556669,0.0002132104,0.0001594358,0.0001235281,0.000004787339,0.0007690858,0.000325806,0.00000790754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003600114,"about_ca_system_score_gemma":0.00009823229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002800442,"about_ca_topic_score_gemma":0.000001147529,"domain_scores_codex":[0.997919,0.0001370321,0.0003294175,0.0007701506,0.0003237102,0.0005207047],"domain_scores_gemma":[0.9990369,0.00001587719,0.0001310915,0.00049011,0.00006348531,0.0002625514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001031344,0.0001355134,0.00009644564,0.00005598403,0.0001145955,0.0007321552,0.00001464092,0.000313157,0.9967852,0.00005824115,0.001290111,0.0003008844],"study_design_scores_gemma":[0.000844561,0.0001961911,0.000001253528,0.00000606633,0.00009821599,0.0003588801,0.0002506758,0.0002963092,0.9769089,0.0001190164,0.02049355,0.0004263789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881137,0.009250273,0.001313916,0.0002388988,0.0002595087,0.0002522079,0.00003788186,0.00003982662,0.0004937683],"genre_scores_gemma":[0.9956126,0.0000363497,0.0005820441,0.0008920502,0.0001396498,0.0001048264,0.0004441113,0.00006331914,0.002125058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987624,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006059443193717922,"score_gpt":0.2379345644378916,"score_spread":0.2318751212441736,"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."}}