{"id":"W2973883737","doi":"10.2218/gtopdb/f799/2019.4","title":"Hydrolases (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database","year":2019,"lang":"en","type":"article","venue":"IUPHAR/BPS Guide to Pharmacology CITE","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monoacylglycerol lipase; Lipase; Adipose tissue; Chemistry; Esterase; Hydrolysis; Triglyceride; Lipoprotein lipase; Enzyme; Biochemistry; Endocrinology; Cholesterol; Biology; Endocannabinoid system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002791001,0.0007582573,0.001116214,0.001344913,0.0002951067,0.00009205103,0.001570169,0.0003435094,0.02202378],"category_scores_gemma":[0.0002316313,0.0006131306,0.0003668877,0.001847172,0.0002660952,0.0003888924,0.0009744093,0.001464304,0.01041837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194826,"about_ca_system_score_gemma":0.0008260338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011809,"about_ca_topic_score_gemma":0.0001297673,"domain_scores_codex":[0.9929526,0.0008590648,0.001318073,0.001576433,0.001234748,0.002059046],"domain_scores_gemma":[0.9966388,0.0003189603,0.000225212,0.001161424,0.0004336187,0.00122202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001765021,0.0006339634,0.001771067,0.0001006384,0.0001460179,0.0008806855,0.0002491411,0.0002374524,0.3681493,0.00001725473,0.6251331,0.0009163402],"study_design_scores_gemma":[0.009245873,0.001393054,0.003738946,0.00007702298,0.0003714936,0.0003896379,0.0002415467,0.0003916322,0.07344785,0.000006007892,0.9100983,0.0005986334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881749,0.001247651,0.00006823151,0.09341249,0.003544912,0.006369405,0.005612579,0.0002115655,0.007784118],"genre_scores_gemma":[0.4534458,0.001766054,0.001170555,0.3594257,0.005262819,0.003280091,0.008785749,0.0003761135,0.1664871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4283033,"threshold_uncertainty_score":0.999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471506593353618,"score_gpt":0.3875254439789268,"score_spread":0.3728103780453906,"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."}}