{"id":"W4288096528","doi":"10.1128/spectrum.00552-22","title":"Analysis of <i>Streptomyces</i> Volatilomes Using Global Molecular Networking Reveals the Presence of Metabolites with Diverse Biological Activities","year":2022,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Government of Canada","keywords":"Streptomyces; Workflow; Computational biology; Gas chromatography–mass spectrometry; Biology; Biochemical engineering; Process (computing); Computer science; Chemistry; Mass spectrometry; Chromatography; Bacteria; Database; Genetics; Engineering","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":[0.0001371617,0.0007166492,0.000316829,0.0004951908,0.000252244,0.0004855231,0.0001634954,0.0002332641,0.001215453],"category_scores_gemma":[0.0002258177,0.0001082579,0.000355757,0.0005163038,0.0001659175,0.0003656682,0.0003981988,0.000434233,0.0005597082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002521305,"about_ca_system_score_gemma":0.0002587114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000829072,"about_ca_topic_score_gemma":0.001703259,"domain_scores_codex":[0.9998616,0.0000126017,0.000009432301,0.00005336959,0.00004132598,0.00002167654],"domain_scores_gemma":[0.9998351,0.00003057725,0.00005940605,0.0000228357,0.00002816984,0.00002398531],"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":[0.00009341635,0.000008067655,0.0008525064,0.00007732052,0.000007580213,0.00007129223,0.00002040779,0.0001332923,0.993251,0.00007306234,0.00007490675,0.005337058],"study_design_scores_gemma":[0.000004800666,0.0001593702,0.01769023,0.00002761582,0.00006086797,0.0004762513,0.0001053858,0.001940998,0.963499,0.0002276962,0.0157851,0.0000226049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343992,0.002708988,0.0391198,0.000231303,0.00009428365,0.00009214016,0.01457852,0.001598584,0.007177265],"genre_scores_gemma":[0.9162958,0.002122746,0.05051401,0.0001907825,0.00003365582,0.0000915238,0.02498792,0.0005209155,0.005242666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001215453,"threshold_uncertainty_score":0.00406611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640406481320848,"score_gpt":0.2471317392507375,"score_spread":0.230727674437529,"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."}}