{"id":"W2324029191","doi":"10.2174/0929867043364216","title":"Preface [ Constrained Peptides (Guest Editor: Gordon E. Willick)]","year":2004,"lang":"en","type":"article","venue":"Current Medicinal Chemistry","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Chemistry; Polymer science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001353157,0.0002573344,0.0002533589,0.00001490971,0.00008109255,0.00002198928,0.0002786459,0.0001784064,0.0001279589],"category_scores_gemma":[0.0002552024,0.0002251107,0.0001959271,0.0001054516,0.0002747967,0.000004477769,0.00009389444,0.0002262291,0.0000246638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005152721,"about_ca_system_score_gemma":0.0001367559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001132928,"about_ca_topic_score_gemma":0.00000303519,"domain_scores_codex":[0.9985468,0.00001277139,0.0002975534,0.0004894793,0.0003117698,0.0003416018],"domain_scores_gemma":[0.9991446,0.00001688228,0.0001154065,0.0003671482,0.00008823859,0.0002677326],"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":[0.00002947496,0.000151426,0.0006594933,0.0001214915,0.00005769596,0.000003618416,0.00002050947,0.00001237269,0.985259,0.000007998573,0.01085513,0.002821778],"study_design_scores_gemma":[0.0006140385,0.00004138172,0.00008614633,0.0001417302,0.00007173533,0.00002241496,0.00008894836,0.000005653301,0.7952537,0.00005565473,0.2033666,0.0002519898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876845,0.005331224,0.0006516028,0.0006012731,0.001353032,0.000111092,0.00004388664,0.00005032801,0.004173073],"genre_scores_gemma":[0.9861752,0.000582763,0.0001177658,0.00007528229,0.01234765,0.00001982222,0.0003381778,0.00002265935,0.0003206512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1925115,"threshold_uncertainty_score":0.9179749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007953294795446205,"score_gpt":0.254502072518581,"score_spread":0.2465487777231348,"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."}}