{"id":"W2302828574","doi":"10.1038/nature17154","title":"The conformational signature of β-arrestin2 predicts its trafficking and signalling functions","year":2016,"lang":"en","type":"article","venue":"Nature","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Institute for Health and Care Research; Canadian Institutes of Health Research; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"G protein-coupled receptor; Arrestin; Chemistry; Receptor; Effector; Biophysics; Cell biology; Signal transduction; G protein; Biochemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001859403,0.00008308818,0.0000667543,0.00001815628,0.0001505587,0.00001709845,0.0001019212,0.000538244,0.00003180095],"category_scores_gemma":[0.0001535201,0.00004493842,0.00004320698,0.00004394923,0.00004252319,0.000006434496,0.00003461156,0.0002914821,0.000001539102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004184042,"about_ca_system_score_gemma":0.00004114841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.614868e-7,"about_ca_topic_score_gemma":0.000002161875,"domain_scores_codex":[0.9994444,0.00002280444,0.0001332968,0.0001323647,0.0001421071,0.0001250434],"domain_scores_gemma":[0.9995899,0.0000622138,0.00007788645,0.00009172783,0.0001376541,0.00004063111],"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":[0.00004130673,0.000006345094,0.00008513994,0.000009384496,0.00003086943,2.906359e-7,0.00002911354,0.00007659019,0.9905947,0.001869376,0.001553842,0.00570299],"study_design_scores_gemma":[0.0006152235,0.0001650101,0.0006769396,0.00009474526,0.00002127247,0.00001600989,0.0001258694,0.0003670748,0.9087214,0.0002610964,0.08877592,0.0001594285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786971,0.01062686,0.00798212,0.0007575481,0.0005723159,0.0002056579,0.00007040693,0.0000203494,0.001067607],"genre_scores_gemma":[0.9986455,0.0002407142,0.0001775561,0.0001136642,0.0002264368,0.000005654815,0.00002257914,0.000008325436,0.0005596126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08722208,"threshold_uncertainty_score":0.4151431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005926611492873901,"score_gpt":0.2201946787492995,"score_spread":0.2142680672564256,"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."}}