{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006705994,0.0003032271,0.0002663565,0.0001775925,0.0001238077,0.0002178884,0.0002116907,0.0002294448,0.002552182],"category_scores_gemma":[0.00006727284,0.0001180763,0.000167846,0.00013697,0.0001058636,0.0002234112,0.0001775619,0.0004140228,0.000819438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651716,"about_ca_system_score_gemma":0.0001377099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657825,"about_ca_topic_score_gemma":0.0004600131,"domain_scores_codex":[0.9999075,0.00001019283,0.000007827332,0.00001718497,0.00003804192,0.00001920692],"domain_scores_gemma":[0.9999766,0.00000265876,0.000006678928,0.000002824163,0.000004561036,0.000006694857],"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":[0.0001505093,0.00009387561,0.0001004348,0.0001535237,0.000007327495,0.00009304961,0.000008425823,0.0001745699,0.9861988,0.0002139075,0.0001872831,0.01261836],"study_design_scores_gemma":[0.00008500777,0.002526585,0.002460558,0.00004104448,0.00003908655,0.0009762795,0.00002600296,0.0006884688,0.9738396,0.0001144036,0.01918342,0.00001945607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521539,0.02534813,0.008702468,0.0002452506,0.0001441255,0.0002127426,0.001256942,0.0001870818,0.01174935],"genre_scores_gemma":[0.9764097,0.009108335,0.006894502,0.0002237118,0.00002704862,0.00007106145,0.0009267449,0.000017222,0.006321603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552182,"threshold_uncertainty_score":0.008537889,"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."}}