{"id":"W2110783096","doi":"10.1093/bioinformatics/btq264","title":"GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Health; Norwegian Biodiversity Information Centre","keywords":"Oligomer; G protein-coupled receptor; Base (topology); Receptor; Computer science; Computational biology; Chemistry; Biology; Biochemistry; Mathematics; Polymer chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0004680068,0.0001785322,0.0001281512,0.00003319643,0.0001912156,0.00007151592,0.0003372839,0.0002005823,0.0004607956],"category_scores_gemma":[0.0001423094,0.0001186515,0.0001073496,0.0001035538,0.00008452289,0.000009381733,0.0001264276,0.0002200695,0.0003132452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007971031,"about_ca_system_score_gemma":0.0001161622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007127996,"about_ca_topic_score_gemma":0.0000250342,"domain_scores_codex":[0.9990579,0.00002468814,0.0003164589,0.0001415063,0.000146376,0.0003130298],"domain_scores_gemma":[0.9991305,0.00001415079,0.0001234543,0.0004965452,0.0001187732,0.0001165592],"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":[0.00001795302,0.00003498084,0.00002251168,0.00003033476,0.00002376412,2.10815e-7,0.000241089,0.000003820857,0.9918613,0.0009912571,0.003872639,0.00290015],"study_design_scores_gemma":[0.0004277028,0.0001459562,0.00002514706,0.00001768956,0.00001368247,0.000009893862,0.0003176527,0.00899888,0.7115635,0.00007799841,0.2781307,0.0002712496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980312,0.0002075492,0.01183214,0.0002636232,0.001024304,0.0006811848,0.00002755108,0.0000457204,0.005605944],"genre_scores_gemma":[0.9667006,0.00006000954,0.02753983,0.0004880307,0.0008644742,0.0001069637,0.0001656677,0.00004503297,0.004029386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802978,"threshold_uncertainty_score":0.5045388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851811084422688,"score_gpt":0.2331752597456704,"score_spread":0.2233234486612477,"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."}}