{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002314305,0.0001093325,0.00007715848,0.000006380848,0.001318961,0.0003590599,0.0004854554,0.00004452416,0.000002405638],"category_scores_gemma":[0.0003263857,0.00004978283,0.0001246054,0.00001360445,0.0002049765,0.00001877569,0.0001001502,0.000188696,0.000001465325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001096113,"about_ca_system_score_gemma":0.00004029286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004576191,"about_ca_topic_score_gemma":0.00001050015,"domain_scores_codex":[0.9993737,0.00003345126,0.0001444585,0.0001470429,0.0001016933,0.0001996927],"domain_scores_gemma":[0.9992374,0.00002057044,0.0002225607,0.0003563623,0.0001204393,0.00004270926],"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":[0.0002592632,0.000006360354,0.000279478,0.000002969094,0.00003482692,5.882551e-7,0.00002061762,0.00000124661,0.990393,0.00006776598,0.001815655,0.007118181],"study_design_scores_gemma":[0.0003372109,0.00005955958,0.008215324,0.000009119281,0.00002382959,0.0001104191,0.00004639331,0.00009843553,0.9779955,0.0005614355,0.01243519,0.0001076255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927598,0.0005642356,0.000904858,0.004619891,0.0007687802,0.0001747871,0.00003091063,0.00000341654,0.0001733792],"genre_scores_gemma":[0.9919874,0.0002270783,0.00008682258,0.0001688989,0.002223758,0.000007472008,0.00006066744,0.00001051755,0.00522737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239759,"threshold_uncertainty_score":0.9999812,"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."}}