{"id":"W1964225232","doi":"10.3389/fendo.2012.00105","title":"BRET biosensors to study GPCR biology, pharmacology, and signal transduction","year":2012,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Compagnia di San Paolo; F. Hoffmann-La Roche","keywords":"G protein-coupled receptor; Signal transduction; Receptor; Biosensor; Cell biology; Biology; Transduction (biophysics); Arrestin; G protein; Chemistry; Computational biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00280197,0.0018095,0.002001251,0.001921382,0.0008451729,0.001633939,0.002163244,0.003579219,0.005061554],"category_scores_gemma":[0.002477551,0.001049471,0.001417696,0.002001828,0.001264589,0.002579776,0.001902853,0.006253059,0.0050566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143503,"about_ca_system_score_gemma":0.0006675667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006268934,"about_ca_topic_score_gemma":0.0007235183,"domain_scores_codex":[0.9973643,0.0006072465,0.0001512944,0.0004467315,0.00120324,0.0002271327],"domain_scores_gemma":[0.9987466,0.0005351467,0.0001987277,0.0001141251,0.0003323905,0.00007290614],"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":[0.0001727255,0.0001716863,0.0005662398,0.002922039,0.0001404366,0.000558175,0.000297567,0.001491596,0.8774517,0.02746852,0.01891639,0.06984295],"study_design_scores_gemma":[0.00005031598,0.0003587507,0.0009156246,0.000330185,0.0001034826,0.002047421,0.0001996038,0.008967484,0.7222915,0.00739133,0.2571763,0.000168005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02757885,0.1725015,0.7471847,0.006246487,0.003594745,0.0005336583,0.001818967,0.006185965,0.03435515],"genre_scores_gemma":[0.1945456,0.2032341,0.5185629,0.01106745,0.001536216,0.002819455,0.004537876,0.001361399,0.06233493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005061554,"threshold_uncertainty_score":0.01693261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113249274032447,"score_gpt":0.2756017616794239,"score_spread":0.2642768342761792,"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."}}