{"id":"W2974849834","doi":"10.2218/gtopdb/f46/2019.4","title":"Neuropeptide Y receptors (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database","year":2019,"lang":"en","type":"article","venue":"IUPHAR/BPS Guide to Pharmacology CITE","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Neuropeptide Y receptor; Receptor; Peptide YY; Agonist; Neuropeptide; Peptide; Chemistry; Pharmacology; Endocrinology; Internal medicine; Biology; Biochemistry; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001522564,0.001507786,0.002412396,0.002451362,0.0005124019,0.002886812,0.003435486,0.002236967,0.3409953],"category_scores_gemma":[0.002722935,0.0007740565,0.001001355,0.003203522,0.0002678539,0.002017574,0.001644807,0.002380045,0.4230265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808272,"about_ca_system_score_gemma":0.002055333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371968,"about_ca_topic_score_gemma":0.00409496,"domain_scores_codex":[0.9991884,0.0001619552,0.0001499324,0.0001142452,0.0002577856,0.0001277083],"domain_scores_gemma":[0.9993241,0.0001904572,0.00006902048,0.0001322693,0.0001829846,0.0001013113],"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":[0.000198844,0.00008459686,0.0001720783,0.001458925,0.00002495594,0.0001044965,0.00002835948,0.000359411,0.003496269,0.00758347,0.8726313,0.1138573],"study_design_scores_gemma":[0.00003621126,0.00003210993,0.0002015244,0.0001903729,0.00001147169,0.0001345045,0.000006912906,0.00014563,0.0005489504,0.002436511,0.9962417,0.00001413889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001180241,0.02939612,0.0584993,0.002580906,0.001810273,0.001363534,0.5708519,0.03394541,0.3003723],"genre_scores_gemma":[0.006273079,0.03210852,0.0665129,0.007087667,0.0006072535,0.003224982,0.6676121,0.007642313,0.2089311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3409953,"threshold_uncertainty_score":0.9399902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199325572182777,"score_gpt":0.345255833664781,"score_spread":0.3232625779429533,"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."}}