{"id":"W2604715153","doi":"10.1021/acs.orglett.7b00575","title":"Synthesis and Evaluation of a<sup>64</sup>Cu-Conjugate, a Selective δ-Opioid Receptor Positron Emission Tomography Imaging Agent","year":2017,"lang":"en","type":"article","venue":"Organic Letters","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Positron emission tomography; Chemistry; Conjugate; In vivo; Ex vivo; Pet imaging; Antagonist; Opioid receptor; Preclinical imaging; Molecular imaging; In vitro; Receptor; Brain positron emission tomography; Radiochemistry; Nuclear medicine; 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":[0.0002005832,0.0003575536,0.000284541,0.0001631498,0.0002092846,0.0003286031,0.0003094917,0.0004281315,0.0006583962],"category_scores_gemma":[0.000254394,0.0002031837,0.0001199547,0.0001734732,0.0002331141,0.0003065191,0.0002004426,0.0003046313,0.000393422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478377,"about_ca_system_score_gemma":0.0003557817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007795867,"about_ca_topic_score_gemma":0.000706346,"domain_scores_codex":[0.9999086,0.00002583344,0.000008636926,0.00001833305,0.00001960121,0.00001909553],"domain_scores_gemma":[0.9998822,0.00001433382,0.0000252264,0.00001161202,0.00003557703,0.00003100398],"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":[0.0002230532,0.00008563334,0.0001324514,0.0001185186,0.000008776357,0.0002393251,0.00004046815,0.001137709,0.9895633,0.0005659926,0.0001157404,0.007769092],"study_design_scores_gemma":[0.0000321908,0.0006341224,0.0002820035,0.000004577263,0.00001304068,0.0003055775,0.00001251117,0.0009157813,0.9937307,0.00003007738,0.004033411,0.000006047803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241171,0.002241988,0.06603605,0.0002501458,0.00004316239,0.0008774301,0.0003656798,0.0001606076,0.005907812],"genre_scores_gemma":[0.952643,0.001590966,0.04024631,0.00006981286,0.00001593931,0.0002091917,0.0003835202,0.00004606416,0.004795101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007795867,"threshold_uncertainty_score":0.00252378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194049913221327,"score_gpt":0.2568224993089886,"score_spread":0.237417507986856,"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."}}