{"id":"W2764180024","doi":"10.1021/acsmedchemlett.7b00347","title":"χ-Space Screening of Dermorphin-Based Tetrapeptides through Use of Constrained Arylazepinone and Quinolinone Scaffolds","year":2017,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Sherbrooke","funders":"Vrije Universiteit Brussel; Canadian Institutes of Health Research; Agentschap voor Innovatie door Wetenschap en Technologie; National Institute on Drug Abuse; Fonds Wetenschappelijk Onderzoek","keywords":"Dermorphin; Tetrapeptide; Chemistry; Stereochemistry; Receptor; Oligopeptide; Peptide; In vitro; Opioid; Opioid peptide; Amino acid; Residue (chemistry); Biochemistry","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":[0.00008576714,0.0002204412,0.0004223823,0.00002701031,0.0001875047,0.00003299769,0.0004023903,0.00007236862,0.00002944696],"category_scores_gemma":[0.0005561318,0.0001976683,0.00008096082,0.00007071738,0.00225941,0.000227706,0.0001205005,0.0001666922,0.000001088308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008063335,"about_ca_system_score_gemma":0.00003685128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000159561,"about_ca_topic_score_gemma":0.000001078467,"domain_scores_codex":[0.998575,0.00003702965,0.0003502959,0.0004312325,0.0002980789,0.0003083842],"domain_scores_gemma":[0.9984094,0.0004159831,0.0005069427,0.0005191828,0.00004656086,0.0001019234],"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":[0.0001510688,0.000043887,0.001416123,0.0002184221,0.00001265765,0.0001155695,0.00005668651,0.00004682959,0.997311,0.00007253366,0.0002602682,0.0002949583],"study_design_scores_gemma":[0.000883792,0.0001002373,0.004825852,0.0002749458,0.00003547629,0.00006445658,0.00004222191,0.0001117167,0.9932525,0.000028338,0.0002112479,0.0001691999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969717,0.00003101017,0.0001254022,0.002402168,0.00004925028,0.00009876451,0.00002632909,0.00002561262,0.00026971],"genre_scores_gemma":[0.9964237,0.00005154096,0.001283676,0.002072864,0.0001144836,0.00000310461,0.000003626586,0.00002108405,0.00002592501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00405848,"threshold_uncertainty_score":0.8324892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06768743494555218,"score_gpt":0.2801151199347699,"score_spread":0.2124276849892177,"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."}}