{"id":"W2936256234","doi":"10.1038/s41598-019-42167-0","title":"Rapid detection of Bacillus ionophore cereulide in food products","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Haute école Spécialisée de Suisse Occidentale; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Ionophore; Bacillus subtilis; Microbiology; Food science; Chemistry; Biology; Bacteria; Biochemistry; Genetics","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":[0.0004825806,0.000696771,0.0002845665,0.0006723423,0.0002082201,0.0003740956,0.0002589614,0.0007271133,0.000935754],"category_scores_gemma":[0.0005830792,0.000285747,0.0002280185,0.0002951538,0.0003166841,0.000425367,0.0005079568,0.0007483502,0.0005569609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379763,"about_ca_system_score_gemma":0.0003088044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004266223,"about_ca_topic_score_gemma":0.000581946,"domain_scores_codex":[0.9994599,0.0001043642,0.00002239811,0.0001108886,0.0002517323,0.00005063769],"domain_scores_gemma":[0.9996501,0.00008475323,0.00008203401,0.00002288334,0.0001118351,0.00004845123],"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":[0.00001974963,0.000006870868,0.00009022275,0.00002410787,0.00000200285,0.00001655204,0.000007742538,0.00001679307,0.998696,0.00001687477,0.00001926791,0.001083704],"study_design_scores_gemma":[0.000005807608,0.0001499807,0.001836032,0.00001009928,0.000006060304,0.0001736368,0.00002305739,0.0006162084,0.9960231,0.00002742579,0.001120894,0.000007675626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899865,0.005285546,0.09985574,0.0003179289,0.0001473057,0.0002890805,0.0007691396,0.0005437502,0.002805076],"genre_scores_gemma":[0.8765976,0.002847727,0.114461,0.0001935216,0.00004917407,0.0002529026,0.0009470643,0.00008272567,0.004568267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000935754,"threshold_uncertainty_score":0.003130436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012120316744899,"score_gpt":0.2269897012464354,"score_spread":0.2148693845015364,"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."}}