{"id":"W4401693954","doi":"10.1021/acsptsci.4c00236","title":"Design, Synthesis, and <i>In Vitro</i> Characterization of Proteolytically-Stable Opioid-Neurotensin Hybrid Peptidomimetics","year":2024,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Faculty of Medicine and Health, University of Sydney; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Vlaamse regering; Vrije Universiteit Brussel; Fonds de Recherche du Québec - Santé; Fonds Wetenschappelijk Onderzoek; Canada Research Chairs","keywords":"Neurotensin; Peptidomimetic; In vitro; Characterization (materials science); Chemistry; Opioid; Neuropeptide; Materials science; Biochemistry; Nanotechnology; Peptide; Receptor","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":[0.0004106329,0.0001486544,0.000201759,0.0002235067,0.000143399,0.00005383342,0.0002882933,0.0000349196,0.00006114985],"category_scores_gemma":[0.0001113102,0.000134823,0.00003185252,0.0007150239,0.001045367,0.0005037046,0.00006158829,0.0002061818,0.00002098717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797288,"about_ca_system_score_gemma":0.0002420816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003560104,"about_ca_topic_score_gemma":1.459493e-7,"domain_scores_codex":[0.9982422,0.0001669753,0.0003160063,0.00062116,0.0002952987,0.0003583693],"domain_scores_gemma":[0.9990023,0.0007174857,0.00005859192,0.00008871499,0.00005762352,0.00007526414],"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":[0.0002125711,0.00006485147,0.0000219013,0.00003647793,0.00000235319,0.0000441286,0.00005538698,0.0001290274,0.9964587,0.0009218722,0.00001327653,0.002039427],"study_design_scores_gemma":[0.0001992461,0.00006793636,0.002211202,0.00002248374,0.00001910279,0.00005089877,0.000001205149,0.01813013,0.9775175,0.001177285,0.0004809463,0.0001219959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964409,0.00004481435,0.001570289,0.0009325587,0.0002608745,0.0005121616,0.00004204346,0.00004829316,0.0001480827],"genre_scores_gemma":[0.9980457,0.0001459559,0.0007800981,0.0008824531,0.00005584661,0.00003838464,0.000002115096,0.0000152715,0.00003419404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894116,"threshold_uncertainty_score":0.5497922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795201620552448,"score_gpt":0.2824816904750659,"score_spread":0.2545296742695414,"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."}}