{"id":"W2293057271","doi":"10.1002/ejoc.201501495","title":"Stereoselective Synthesis of β‐(5‐Arylthiazolyl) α‐Amino Acids and Use in Neurotensin Analogues","year":2016,"lang":"en","type":"article","venue":"European Journal of Organic Chemistry","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Réseau de Recherche en Santé Buccodentaire et Osseuse","keywords":"Chemistry; Neurotensin; Residue (chemistry); Amino acid; Alanine; Stereochemistry; Glycine; Stereoselectivity; Alkylation; Side chain; Selectivity; Dehydroalanine; Chemical synthesis; Enantioselective synthesis; Neurotensin receptor; Organic chemistry; Receptor; Biochemistry; In vitro; Neuropeptide","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":[0.000134058,0.0003247673,0.0001998489,0.0001396286,0.0001173866,0.0001541905,0.0002190119,0.000198625,0.000990522],"category_scores_gemma":[0.000149136,0.0001208087,0.0001645742,0.0001665767,0.0001056761,0.0001363977,0.0001528887,0.0003121613,0.0005862376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998358,"about_ca_system_score_gemma":0.0002323939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004518985,"about_ca_topic_score_gemma":0.0008430998,"domain_scores_codex":[0.9999138,0.00001638268,0.00001248283,0.00001744091,0.00001718853,0.00002268596],"domain_scores_gemma":[0.9998858,0.00001403554,0.00003763489,0.0000117053,0.0000259561,0.00002480727],"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":[0.00005802294,0.00001221207,0.00005443685,0.0000340236,0.000003845646,0.000114142,0.00001511846,0.0001308966,0.9979545,0.00007704889,0.00001838005,0.001527333],"study_design_scores_gemma":[0.00002138426,0.0002967174,0.000656204,0.000003463239,0.00001267959,0.0002966781,0.00001102756,0.0002954067,0.9958002,0.00002265175,0.002577836,0.000005843985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789329,0.001718101,0.01465848,0.00006656948,0.00005818604,0.0001118209,0.0004626519,0.0001080754,0.003883275],"genre_scores_gemma":[0.9830467,0.001419052,0.01241404,0.00004193579,0.00001554287,0.00007014041,0.0003618415,0.00002366091,0.002607068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000990522,"threshold_uncertainty_score":0.003313601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234687617402801,"score_gpt":0.2157616652499384,"score_spread":0.1922929035096583,"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."}}