{"id":"W3083050006","doi":"10.1101/2020.09.07.286443","title":"Volatiles from <i>Serratia marcescens, S. proteamaculans</i> , and <i>Bacillus subtilis</i> Inhibit Growth of <i>Rhizopus stolonifer</i> and Other Fungi","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Serratia marcescens; Dimethyl trisulfide; Bacteria; Rhizopus; Biology; Microbiology; Bacillus subtilis; Bacillus (shape); Food science; Chemistry; Fermentation; Biochemistry; Dimethyl disulfide; Organic chemistry; Escherichia coli","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141162,0.000293223,0.0001590687,0.0002070985,0.0001125195,0.0002683718,0.00011333,0.0001506554,0.0007253924],"category_scores_gemma":[0.000175593,0.00008446544,0.0002312693,0.0001350951,0.0001311524,0.000115612,0.0001634176,0.0002494032,0.000115224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977963,"about_ca_system_score_gemma":0.0001976192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810971,"about_ca_topic_score_gemma":0.002536811,"domain_scores_codex":[0.9998783,0.00001373805,0.000008614256,0.00001844849,0.00005216121,0.00002872356],"domain_scores_gemma":[0.9998627,0.00002684844,0.00004654371,0.000007520554,0.00002583962,0.00003058133],"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":[0.00007182383,0.00001324755,0.0006154921,0.00001577996,0.000005207835,0.000008929575,0.000002979242,0.00006713661,0.9984342,0.000006142085,0.00001273286,0.0007462947],"study_design_scores_gemma":[0.00001044864,0.0005078344,0.02198293,0.000009258879,0.0000176045,0.00005718891,0.0000541528,0.001049369,0.9758008,0.0000153107,0.0004894947,0.000005672424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976296,0.0004657928,0.0008716229,0.00002847792,0.00001308837,0.00001444891,0.0004083029,0.00003114377,0.0005375242],"genre_scores_gemma":[0.997088,0.0003620225,0.001290424,0.00003656231,0.000008020505,0.00001270863,0.0005863894,0.000007733545,0.0006082104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810971,"threshold_uncertainty_score":0.003600836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330949346214375,"score_gpt":0.2044388753764833,"score_spread":0.1911293819143395,"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."}}