{"id":"W1984263019","doi":"10.1016/j.lwt.2015.04.053","title":"Characterization of antimicrobial efficacy of soy isoflavones against pathogenic biofilms","year":2015,"lang":"en","type":"article","venue":"LWT","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Antimicrobial; Listeria monocytogenes; Isoflavones; Biofilm; Food science; SOY ISOFLAVONES; Tryptic soy broth; Microbiology; Food spoilage; Staphylococcus aureus; Listeria; Pseudomonas aeruginosa; Chemistry; Soy protein; Food microbiology; Biology; Bacteria; Biochemistry","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":[0.0001646861,0.0002526189,0.0001737556,0.0002795524,0.0001550119,0.0001723221,0.0001060647,0.0001852893,0.0008577637],"category_scores_gemma":[0.0001921544,0.0000903517,0.0003324499,0.0002169915,0.0001054805,0.0001514915,0.0001390082,0.0002181834,0.0001162231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092666,"about_ca_system_score_gemma":0.0001691975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150419,"about_ca_topic_score_gemma":0.002294118,"domain_scores_codex":[0.9998816,0.00002369196,0.000009930644,0.00001929487,0.00003917855,0.00002628593],"domain_scores_gemma":[0.9999001,0.00002389276,0.00001863411,0.000008167364,0.00003479842,0.0000144328],"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":[0.0001148708,0.00003104547,0.0004977658,0.00001916373,0.000004757677,0.00001463596,0.00001963348,0.00002066219,0.9981533,0.00001298781,0.00000907787,0.001102088],"study_design_scores_gemma":[0.00001746766,0.001164397,0.02740552,0.00001522001,0.0000490295,0.00007896491,0.0001319187,0.0004053835,0.9694567,0.00003398536,0.001236041,0.000005404332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976483,0.0008980653,0.0005373458,0.00004176881,0.000007032366,0.00001822582,0.000266613,0.000005361956,0.000577251],"genre_scores_gemma":[0.9951925,0.000774145,0.001655038,0.00003810862,0.000008929303,0.00002283023,0.0006836586,0.000006313096,0.001618528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150419,"threshold_uncertainty_score":0.002990842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023687782410063,"score_gpt":0.2971397010088115,"score_spread":0.2669028231847109,"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."}}