{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946583,0.001213729,0.001110659,0.003336805,0.0008779542,0.002961169,0.003308996,0.001873951,0.02016376],"category_scores_gemma":[0.006347743,0.0009559528,0.00111241,0.003631401,0.0004929195,0.003248442,0.003252463,0.002527385,0.01840909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009721405,"about_ca_system_score_gemma":0.002827878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008059978,"about_ca_topic_score_gemma":0.005549409,"domain_scores_codex":[0.9991109,0.0001194987,0.0001422381,0.0001880679,0.0003471481,0.00009211923],"domain_scores_gemma":[0.9977995,0.0007670991,0.0002526941,0.000422528,0.0004614974,0.0002967627],"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":[0.0019054,0.0005724787,0.004569508,0.005696719,0.0003379221,0.001070287,0.0005962388,0.01522306,0.03815975,0.0454522,0.6816305,0.2047859],"study_design_scores_gemma":[0.0007074309,0.0001552424,0.006745561,0.0008966133,0.0002685238,0.0008934542,0.0002272453,0.06346443,0.03274522,0.03817894,0.8554476,0.0002697396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01255421,0.001895898,0.3445614,0.002384507,0.0003859263,0.001094768,0.4040917,0.2145049,0.01852668],"genre_scores_gemma":[0.03667381,0.001544926,0.2087437,0.0009012752,0.0000800453,0.0009275638,0.7386092,0.00801631,0.004503096],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02016376,"threshold_uncertainty_score":0.06745446,"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."}}