{"id":"W2767055878","doi":"10.1002/9781119092599.ch19","title":"Optimization of a Macrocyclic Ghrelin Receptor Agonist (Part II)","year":2017,"lang":"en","type":"other","venue":"","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ghrelin; Agonist; Chemistry; Combinatorial chemistry; Lead compound; Stereochemistry; Tripeptide; Computational biology; Receptor; Biochemistry; Biology; Amino acid; In vitro","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001762384,0.0005342244,0.0004717242,0.0003684793,0.0002068011,0.0004409548,0.0003525977,0.0002446106,0.01000075],"category_scores_gemma":[0.0001799988,0.0001406761,0.0003738485,0.0004366273,0.0001608403,0.0002234445,0.0004334119,0.0005357933,0.003372932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024605,"about_ca_system_score_gemma":0.0005434306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008436643,"about_ca_topic_score_gemma":0.002236114,"domain_scores_codex":[0.999897,0.00001317327,0.000007174186,0.00002325631,0.00003058734,0.00002874969],"domain_scores_gemma":[0.9999685,0.000003621802,0.000006692269,0.000004015505,0.000007452747,0.000009701555],"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":[0.001763633,0.0004659283,0.0006241695,0.001808255,0.00009400782,0.0009257828,0.0001928437,0.009999068,0.787442,0.007427095,0.01275087,0.1765064],"study_design_scores_gemma":[0.0007277214,0.01022622,0.003847204,0.0003196542,0.0002025637,0.00142876,0.0001346424,0.008059413,0.7128431,0.001917359,0.2601831,0.0001101744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368485,0.04808847,0.04623099,0.00114561,0.0008871757,0.002213574,0.01091957,0.001687597,0.1519785],"genre_scores_gemma":[0.8518376,0.03674616,0.03302705,0.001104264,0.0001361105,0.0009029194,0.005898166,0.0002975321,0.07005023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000075,"threshold_uncertainty_score":0.03345579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647012778420187,"score_gpt":0.2686477100747368,"score_spread":0.2421775822905349,"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."}}