{"id":"W1983391807","doi":"10.1038/sj.bjp.0705376","title":"Development and characterization of a highly selective neuropeptide Y Y5 receptor agonist radioligand: [125I][hPP1–17, Ala31, Aib32]NPY","year":2003,"lang":"en","type":"article","venue":"British Journal of Pharmacology","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Neuropeptide Y receptor; Radioligand; Receptor; Agonist; Population; Chemistry; Radioligand Assay; Molecular biology; HEK 293 cells; Internal medicine; Biology; Endocrinology; Biophysics; Neuropeptide; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003699538,0.0006048261,0.0006338753,0.0002621568,0.0002061735,0.0004028501,0.0007698309,0.0005284637,0.001862712],"category_scores_gemma":[0.0003560342,0.0002929251,0.0003968702,0.0002307349,0.0002494201,0.0002317406,0.0003056789,0.0005017577,0.002063048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059702,"about_ca_system_score_gemma":0.0005984041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003586405,"about_ca_topic_score_gemma":0.004834026,"domain_scores_codex":[0.9997707,0.00003870175,0.00001982639,0.00004416437,0.00006114954,0.00006548669],"domain_scores_gemma":[0.9998664,0.00002401895,0.00001846588,0.00001604677,0.00003521404,0.00003986185],"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":[0.00003673036,0.00002004918,0.00008516609,0.00005248016,0.000008836919,0.000050532,0.00001675877,0.00008928275,0.997118,0.0000686996,0.00006460633,0.002388885],"study_design_scores_gemma":[0.00004171924,0.0007200029,0.003332105,0.00001177729,0.00005270226,0.0007538412,0.00003947281,0.001408889,0.9804253,0.00003555032,0.01316249,0.00001617986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880468,0.007973764,0.0946838,0.0004643496,0.00009045148,0.0007202194,0.001844198,0.0003991647,0.005777412],"genre_scores_gemma":[0.8370369,0.006521715,0.1306455,0.0005161116,0.0001003223,0.0005160251,0.009306921,0.000175786,0.01518068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003586405,"threshold_uncertainty_score":0.0071311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554113416994797,"score_gpt":0.2444237727007031,"score_spread":0.2288826385307551,"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."}}