{"id":"W2923667138","doi":"10.1016/j.fm.2019.03.022","title":"Interactions between spoilage bacteria in tri-species biofilms developed under simulated meat processing conditions.","year":2019,"lang":"en","type":"article","venue":"Food Microbiology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Saint Hyacinthe; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Food spoilage; Biofilm; Pseudomonas fluorescens; Food science; Bacteria; Lactobacillus plantarum; Salmonella enterica; Biology; Meat packing industry; Meat spoilage; Microbiology; Lactic acid; Salmonella","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107346,0.0002435512,0.0003328692,0.0001413901,0.00008741535,0.00004492931,0.0001618526,0.0003337293,0.0002822653],"category_scores_gemma":[0.00002685691,0.0002316885,0.00008454157,0.0001952897,0.00010701,0.00001468944,0.0001331557,0.000177803,0.0001113873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003528038,"about_ca_system_score_gemma":0.0001138395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001705181,"about_ca_topic_score_gemma":0.0002085619,"domain_scores_codex":[0.9985681,0.0001135895,0.0003901132,0.0004874642,0.00002760304,0.0004131001],"domain_scores_gemma":[0.9994251,0.00002959345,0.0001383618,0.0002606722,0.00008961311,0.00005666663],"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":[0.00009687394,0.00003852217,0.004881144,0.00001621892,0.00005907752,0.000001498041,0.00004490735,0.00002137851,0.9942453,0.00004022228,0.0002703134,0.0002845242],"study_design_scores_gemma":[0.001168673,0.0003351237,0.02804063,0.00005429714,0.00002054211,0.00005103504,0.000138908,0.000005096211,0.8970236,0.00001276584,0.07277821,0.0003711089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979193,0.0001344445,0.00002725354,0.000231734,0.0005066463,0.0002879614,0.0002256071,0.00003000408,0.0006370959],"genre_scores_gemma":[0.9953358,0.00001975626,0.0003448381,0.0003140036,0.0001860514,0.00000361636,0.002672261,0.00003246023,0.00109127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09722171,"threshold_uncertainty_score":0.9447984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081439619088383,"score_gpt":0.257344282831968,"score_spread":0.2365298866410842,"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."}}