{"id":"W2519198844","doi":"10.1124/mol.116.105940","title":"A Pluridimensional View of Biased Agonism","year":2016,"lang":"en","type":"review","venue":"Molecular Pharmacology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Functional selectivity; Effector; G protein-coupled receptor; Computational biology; Signal transduction; Biology; Signaling proteins; Drug discovery; Identification (biology); Receptor; Phenotype; Subcellular localization; Ligand (biochemistry); Agonism; Cell signaling; Cell biology; Neuroscience; Bioinformatics; Genetics; Gene; Political science; Ecology","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":[],"category_scores_codex":[0.0003137526,0.000495836,0.00129193,0.000155214,0.00005115629,0.00000802572,0.0004679498,0.0006240773,0.001338433],"category_scores_gemma":[0.00003310067,0.0003791123,0.0008492947,0.0001385464,0.0001258172,0.00000196646,0.0002821878,0.0002124962,0.00009469162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968085,"about_ca_system_score_gemma":0.0004741388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002243774,"about_ca_topic_score_gemma":2.342818e-7,"domain_scores_codex":[0.9975237,0.0004651627,0.0006981699,0.0006797243,0.0002060373,0.0004272278],"domain_scores_gemma":[0.9988187,0.00004710865,0.00046169,0.0004076665,0.0001200062,0.0001448078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001951155,0.00006476101,4.529766e-8,0.001765251,0.0005294041,0.00004825512,0.000002634574,0.000001991303,0.6832725,0.0001802916,0.002510771,0.3116046],"study_design_scores_gemma":[0.0004011751,0.0001699134,2.102667e-8,0.00100895,0.0003840559,0.00006130698,6.531719e-7,0.000001246203,0.2510994,0.00004039419,0.7465286,0.0003042522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002222601,0.9953864,0.002378224,0.00003147101,0.0009229225,0.0006220714,0.0001140867,0.0000150588,0.000307458],"genre_scores_gemma":[0.0001751718,0.9975859,0.0005585341,0.0003492883,0.0003799564,0.0001527465,0.0003068562,0.0001059801,0.0003855968],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7440178,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400689174464857,"score_gpt":0.3399962667813388,"score_spread":0.3159893750366902,"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."}}