{"id":"W4389022305","doi":"10.1096/fasebj.31.1_supplement.609.6","title":"The PepSAVI‐MS Pipeline for Natural Product Bioactive Peptide Discovery","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Natural product; Biology; Antimicrobial; Computational biology; Microbiology; Biochemistry","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":[0.001820518,0.001528293,0.0008638338,0.001487109,0.000367445,0.001528162,0.000767034,0.0009159336,0.007101131],"category_scores_gemma":[0.001267675,0.0005682958,0.000854956,0.000692253,0.0004871496,0.001334088,0.001705891,0.002046118,0.00502611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004242765,"about_ca_system_score_gemma":0.0008445816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002907634,"about_ca_topic_score_gemma":0.0004137775,"domain_scores_codex":[0.9992794,0.0001127465,0.00004306832,0.0001852784,0.0003025201,0.00007685494],"domain_scores_gemma":[0.9995288,0.0001410863,0.00009744861,0.00005704666,0.00009212858,0.00008354449],"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":[0.001760125,0.0001660459,0.001369998,0.000879798,0.0002082154,0.000522333,0.0001940585,0.001592661,0.8673638,0.004379075,0.01521723,0.1063466],"study_design_scores_gemma":[0.0002995642,0.001357849,0.0026597,0.0001169086,0.00009439275,0.001169634,0.00009468623,0.03683532,0.8229709,0.005412898,0.1288187,0.0001695664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1170022,0.01355862,0.7474806,0.001848996,0.0006844525,0.001674999,0.02550023,0.06597672,0.02627324],"genre_scores_gemma":[0.2817257,0.006921786,0.6568418,0.002016581,0.0003607556,0.002136766,0.03059817,0.004337345,0.01506111],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007101131,"threshold_uncertainty_score":0.02375561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119526484879947,"score_gpt":0.2553991876397339,"score_spread":0.2442039227909344,"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."}}