{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000205965,0.0003820328,0.0005847137,0.000196453,0.0001951758,0.00009451609,0.0003032168,0.00009175221,0.00005084031],"category_scores_gemma":[0.0001340786,0.000336787,0.0001136307,0.0004838014,0.000571096,0.0002996612,0.0001255402,0.0003787241,0.00002720904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003348973,"about_ca_system_score_gemma":0.00004834386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596826,"about_ca_topic_score_gemma":0.00002282307,"domain_scores_codex":[0.997384,0.0004157694,0.000527115,0.0006498029,0.0003389015,0.0006844231],"domain_scores_gemma":[0.9988886,0.0001715618,0.0003096552,0.0003722197,0.00003444801,0.0002235179],"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":[0.0002833017,0.0004174522,0.01332036,0.00006541815,0.00001104877,0.00006074796,0.0003630471,0.00005759875,0.9826859,0.001123721,0.001125335,0.0004861104],"study_design_scores_gemma":[0.0008994765,0.0008186736,0.06508773,0.00006859639,0.00002120202,0.00008696967,0.000123082,0.0002031233,0.9235924,0.00005549101,0.008652234,0.0003910055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997297,0.0001377564,0.00006980937,0.0004754236,0.0001776522,0.0004007804,0.00009369873,0.00005611716,0.001291762],"genre_scores_gemma":[0.9968561,0.00007049707,0.000338533,0.002435104,0.00009694275,0.00001024742,0.0000259277,0.00006070424,0.0001059308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05909344,"threshold_uncertainty_score":0.9999084,"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."}}