{"id":"W4293174651","doi":"10.1016/b978-0-323-85879-3.00009-x","title":"Interventions and current challenges in enhancing the microbiological safety of raw meat","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Psychological intervention; Risk analysis (engineering); Hazard analysis; Scale (ratio); Meat packing industry; Hazard; Current (fluid); Computer science; Biochemical engineering; Engineering; Environmental science; Medicine; Food science; Biology; Ecology; Reliability engineering","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":[0.003495877,0.0006689609,0.0003631492,0.0004260548,0.0003642862,0.003415833,0.001587247,0.003093497,0.01395998],"category_scores_gemma":[0.002810642,0.0001808301,0.000260932,0.000458979,0.002577255,0.002692846,0.001386251,0.00247698,0.00164877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490938,"about_ca_system_score_gemma":0.003478677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002774363,"about_ca_topic_score_gemma":0.004556423,"domain_scores_codex":[0.9989261,0.0005874119,0.0000355321,0.000105774,0.0002480182,0.0000972015],"domain_scores_gemma":[0.9982358,0.00124977,0.000127595,0.0000521847,0.0001824062,0.0001522644],"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":[0.0001998952,0.0003648738,0.0007609654,0.002728588,0.00001833539,0.0001940391,0.0007357201,0.0006700693,0.003926891,0.1300675,0.05655615,0.803777],"study_design_scores_gemma":[0.00004695039,0.0005343803,0.003099129,0.007393536,0.00002728753,0.0005588547,0.002906204,0.0006788537,0.002447107,0.112362,0.8699096,0.00003607488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007287724,0.6656085,0.01111816,0.1897226,0.003720007,0.00005765812,0.0001129449,0.0002114319,0.1221611],"genre_scores_gemma":[0.08075193,0.7832208,0.02655245,0.03452914,0.002870406,0.0002281376,0.0001598547,0.00007713198,0.07161016],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01395998,"threshold_uncertainty_score":0.04670078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016224673651775,"score_gpt":0.3226438687370214,"score_spread":0.221021401371844,"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."}}