{"id":"W4292665377","doi":"10.1073/pnas.2123146119","title":"The neuropeptide landscape of human prefrontal cortex","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Centre for Addiction and Mental Health","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Szegedi Tudományegyetem; Science for Life Laboratory; Debreceni Egyetem; Karolinska Institutet; Vetenskapsrådet; Semmelweis Egyetem; Szent-Györgyi Albert Orvostudományi Kar, Szegedi Tudományegyetem; Kungliga Tekniska Högskolan; Knut och Alice Wallenbergs Stiftelse; McGill University","keywords":"Galanin; Neuropeptide; Neuroscience; Biology; Neuropeptide Y receptor; Prefrontal cortex; Peptide YY; Receptor; Cognition; Genetics","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":[0.001462347,0.00006178928,0.0000987974,0.0001132298,0.001083487,0.00002775098,0.001880428,0.00001862551,0.0000536646],"category_scores_gemma":[0.0009490197,0.00003493125,0.00006709795,0.0009624638,0.001301047,0.0002222905,0.0006117873,0.0002513588,9.151864e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001825521,"about_ca_system_score_gemma":0.00003626783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005911184,"about_ca_topic_score_gemma":7.798767e-8,"domain_scores_codex":[0.9970738,0.00002893734,0.0002710772,0.0002250558,0.002229924,0.0001712447],"domain_scores_gemma":[0.999171,0.0003277798,0.0003473281,0.00001197217,0.0001166514,0.00002528276],"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":[0.00002048487,0.00004700993,0.004178283,0.00001204382,0.000002638997,1.040579e-8,0.000130153,0.00005372224,0.9267982,0.06762139,0.0008154135,0.0003206939],"study_design_scores_gemma":[0.0001882417,0.0001594821,0.1073687,0.00001251591,0.000004443688,0.00001236212,0.0004852975,0.000986368,0.8696076,0.02015846,0.0009560185,0.00006052724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765831,0.00004612456,6.052431e-8,0.001636151,0.00002792565,0.0001640158,0.0000219488,0.000007022599,0.02151365],"genre_scores_gemma":[0.9991799,0.00001256755,0.00001309382,0.0001574328,0.00003149302,0.00002178059,4.03456e-8,0.00000364257,0.0005800514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031905,"threshold_uncertainty_score":0.8333419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07377492166905657,"score_gpt":0.3376296435707488,"score_spread":0.2638547219016922,"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."}}