{"id":"W2335534559","doi":"10.17952/24aps.2015.047","title":"Design and Synthesis of Lasso-Inspired Peptides with Antibacterial Activity","year":2015,"lang":"en","type":"article","venue":"","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Lasso (programming language); Antibacterial activity; Combinatorial chemistry; Artificial intelligence; Theoretical computer science; Chemistry; Programming language; Biology; Bacteria","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":[0.0001919335,0.000489795,0.0004567045,0.0002316551,0.0001833737,0.0004262958,0.0003226804,0.0005841386,0.00138564],"category_scores_gemma":[0.0001950241,0.0002081074,0.0003869182,0.0002440373,0.0002032447,0.0003626276,0.0003252237,0.0007185459,0.000837439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538515,"about_ca_system_score_gemma":0.0001425412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007133108,"about_ca_topic_score_gemma":0.0001313151,"domain_scores_codex":[0.9998385,0.00001976438,0.00001287627,0.00003708589,0.00004387329,0.00004786227],"domain_scores_gemma":[0.9999177,0.000006581473,0.00002904004,0.000003419964,0.000008942331,0.00003417784],"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":[0.0002139207,0.0002242622,0.0002157939,0.0008401099,0.00003791625,0.000767833,0.0001028955,0.004890591,0.96551,0.003171537,0.001574137,0.02245103],"study_design_scores_gemma":[0.0002126949,0.002813997,0.001390456,0.00009802583,0.00005936235,0.001078106,0.00006618063,0.01575147,0.9299098,0.0009525662,0.04756242,0.0001047585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8417292,0.02963422,0.09287253,0.001195209,0.001136189,0.001049103,0.001891989,0.000846843,0.02964468],"genre_scores_gemma":[0.9346346,0.007426979,0.04968334,0.0006547533,0.0001984964,0.0006148407,0.0006741688,0.00007691936,0.006035795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00138564,"threshold_uncertainty_score":0.004635394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113137886173617,"score_gpt":0.242144881709411,"score_spread":0.2110135028476748,"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."}}