{"id":"W2113197627","doi":"10.1186/1756-6606-5-4","title":"In vivo antinociception of potent mu opioid agonist tetrapeptide analogues and comparison with a compact opioid agonist - neurokinin 1 receptor antagonist chimera","year":2012,"lang":"en","type":"article","venue":"Molecular Brain","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Chemistry; Tetrapeptide; Pharmacology; Opioid; Agonist; Enkephalin; Opioid peptide; Stereochemistry; Receptor; Peptide; Biochemistry; Medicine","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":[0.0001847004,0.0003589965,0.0002802115,0.0001247523,0.00007933238,0.000197954,0.00026953,0.0003014941,0.00099579],"category_scores_gemma":[0.00009961463,0.0001059425,0.0002512179,0.0001317757,0.0001745185,0.0001851223,0.00008904008,0.0005900454,0.0001977504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277589,"about_ca_system_score_gemma":0.000144782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00059574,"about_ca_topic_score_gemma":0.0005698348,"domain_scores_codex":[0.9998806,0.00001948863,0.00001067805,0.00002496723,0.0000298538,0.0000344391],"domain_scores_gemma":[0.9998908,0.00001926163,0.00004091414,0.0000101389,0.000009748423,0.0000290952],"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":[0.0003123735,0.00007387128,0.00003009645,0.00001949175,0.000007334392,0.00001553612,0.000007288442,0.00008710342,0.9989773,0.00001949001,0.00001294616,0.0004370491],"study_design_scores_gemma":[0.00006380855,0.004730284,0.001265212,0.000004557398,0.00003289808,0.0001537507,0.00001729772,0.0008332515,0.9921941,0.00001178646,0.0006876572,0.000005474894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980996,0.0007079864,0.0005877823,0.00002662227,0.00001399144,0.00001525808,0.0001869207,0.00001474726,0.0003471275],"genre_scores_gemma":[0.996546,0.0006917129,0.001144664,0.00002631503,0.000006667507,0.00002662934,0.0004735267,0.00001137913,0.001073217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00099579,"threshold_uncertainty_score":0.003331244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051968894769049,"score_gpt":0.2721927271480537,"score_spread":0.2516730382003632,"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."}}