{"id":"W3199710005","doi":"10.1111/bph.15538","title":"THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein‐coupled receptors","year":2021,"lang":"en","type":"article","venue":"British Journal of Pharmacology","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":488,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Calgary; Université de Sherbrooke; Université de Montréal; University of Toronto","funders":"National Cancer Institute; Novo Nordisk Fonden","keywords":"Clinical pharmacology; Computer science; Key (lock); Receptor; G protein-coupled receptor; Computational biology; Pharmacology; Medicine; Biology; Internal medicine","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":[0.003044053,0.001653692,0.001573576,0.002848096,0.000775462,0.00563317,0.002710392,0.002913903,0.146397],"category_scores_gemma":[0.008141511,0.0009874029,0.0008337355,0.002634371,0.001226946,0.004141295,0.002461746,0.006136161,0.2417678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741698,"about_ca_system_score_gemma":0.005314123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849416,"about_ca_topic_score_gemma":0.003349664,"domain_scores_codex":[0.9974583,0.0005531384,0.0002953733,0.0002189242,0.001265161,0.0002091784],"domain_scores_gemma":[0.9957046,0.001407381,0.0003601558,0.00032,0.001594988,0.0006130135],"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":[0.00002457838,0.00003123546,0.00002872353,0.0006889713,0.000004849236,0.00006371486,0.00005526607,0.0001357531,0.0007872679,0.00728696,0.8374237,0.1534689],"study_design_scores_gemma":[0.000004343518,0.00001720088,0.00002958686,0.0001783712,0.000001788123,0.0001192382,0.000008205935,0.0000275573,0.0001165672,0.00123212,0.9982588,0.000006207281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009830846,0.249536,0.07971781,0.04287337,0.0579591,0.001337057,0.01436931,0.01486711,0.5383573],"genre_scores_gemma":[0.003854476,0.2289428,0.04330418,0.02623989,0.0123077,0.001195006,0.01645529,0.003742011,0.6639587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.146397,"threshold_uncertainty_score":0.4897469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420940447113971,"score_gpt":0.4155643549690746,"score_spread":0.3734703102576775,"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."}}