{"id":"W3173627931","doi":"10.3390/pharmaceutics13070927","title":"An Effective and Safe Enkephalin Analog for Antinociception","year":2021,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society; Michael Smith Health Research BC; Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation; National Organization for Rare Disorders","keywords":"Enkephalin; Opioid; Licking; Analgesic; Pharmacology; Receptor; Biting; Morphine; Medicine; Endorphins; Chemistry; μ-opioid receptor; Anesthesia; Internal medicine; Biology","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":[0.00007103214,0.00009427116,0.0001156803,0.00002324777,0.0001283517,0.00003747215,0.00007318448,0.00002960337,0.0000377568],"category_scores_gemma":[0.0001251011,0.00009065884,0.00003775659,0.000108147,0.00007177029,0.0001250489,0.00004436291,0.0001051524,0.00001755464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008091111,"about_ca_system_score_gemma":0.00001236532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001414718,"about_ca_topic_score_gemma":9.879499e-7,"domain_scores_codex":[0.9991516,0.0001411376,0.0001019196,0.0003432836,0.00006369369,0.000198356],"domain_scores_gemma":[0.9994713,0.000251175,0.00004140347,0.0001047982,0.00004443317,0.00008689946],"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":[0.0000621118,0.0000726864,0.0002745541,0.00002884315,0.000002967814,0.00001973407,0.00006172,0.00002222645,0.9725518,0.002205726,0.00007041256,0.02462727],"study_design_scores_gemma":[0.0005566002,0.0001867811,0.003617133,0.000004803809,0.00002363537,0.00003260856,0.00002241256,0.004329531,0.9604442,0.001054063,0.02961565,0.0001125541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982851,0.00006323999,0.0003014795,0.0001112139,0.0001935304,0.0002358624,0.00003929425,0.00004326171,0.0007270817],"genre_scores_gemma":[0.9961918,0.0002906209,0.0003211927,0.002884581,0.0001803513,0.00001598295,0.000006951007,0.00001569858,0.00009284736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02954524,"threshold_uncertainty_score":0.369696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07493771274240901,"score_gpt":0.3970016335622045,"score_spread":0.3220639208197955,"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."}}