{"id":"W4380841936","doi":"10.3390/microorganisms11061575","title":"A Meta-Analysis of Bacterial Communities in Food Processing Facilities: Driving Forces for Assembly of Core and Accessory Microbiomes across Different Food Commodities","year":2023,"lang":"en","type":"review","venue":"Microorganisms","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Beef Cattle Research Council; Mitacs; Canada Research Chairs","keywords":"Food spoilage; Food waste; Microbiome; Food processing; Food science; Food microbiology; Biology; Nutrient; Biotechnology; Ecology; Bacteria","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":[0.000620893,0.0005303289,0.004346936,0.0001615392,0.0002840423,0.000156962,0.0007647456,0.0003107495,0.0001538413],"category_scores_gemma":[0.00003683046,0.0002227318,0.001485338,0.0009127492,0.0003863752,0.000157747,0.0004880349,0.0002078213,6.463503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004124555,"about_ca_system_score_gemma":0.00003525574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003290654,"about_ca_topic_score_gemma":0.03469518,"domain_scores_codex":[0.9974387,0.0002686425,0.001262983,0.0003857159,0.0001848884,0.0004591215],"domain_scores_gemma":[0.9972575,0.001486517,0.0008969884,0.0001726302,0.0001311785,0.00005518327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000229571,0.001115101,0.0001604553,0.1110006,0.2344341,0.00000402387,0.04436996,0.00001155338,0.07423167,0.0006026898,0.0001938942,0.5336464],"study_design_scores_gemma":[0.002239325,0.009339836,0.00231749,0.0120904,0.3539842,0.00003473095,0.1251994,0.0000538597,0.02407656,0.001503887,0.4637262,0.00543405],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3774669,0.6088225,0.000006928711,0.00002612241,0.000056017,0.0006541839,0.01292766,0.00003542878,0.000004317468],"genre_scores_gemma":[0.3276571,0.6672815,0.0001370742,0.0000181036,0.00006924148,0.0002218685,0.004376105,0.00001651024,0.0002225162],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5282124,"threshold_uncertainty_score":0.9829191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2824591311520848,"score_gpt":0.340441134347165,"score_spread":0.05798200319508018,"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."}}