{"id":"W2380036738","doi":"","title":"Analysis and Detection Technology in Meat Food Safety Come from Microbial Sources","year":2009,"lang":"en","type":"article","venue":"Meat Research","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Food safety; Listeria monocytogenes; Campylobacter; Salmonella; Raw meat; Business; Meat packing industry; Food science; Biotechnology; Environmental health; Biology; Medicine; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003890357,0.00007680157,0.0001270189,0.0006147482,0.000159804,0.00005735785,0.0001891523,0.0001930076,0.00003301945],"category_scores_gemma":[0.0001406681,0.00007882761,0.00004655953,0.001026245,0.0001465458,0.000004159678,0.00006551351,0.0001873548,0.00001956856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000180253,"about_ca_system_score_gemma":0.00001913347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008737962,"about_ca_topic_score_gemma":0.00165567,"domain_scores_codex":[0.998856,0.0001625114,0.000201279,0.0003914356,0.000169187,0.0002195622],"domain_scores_gemma":[0.9993654,0.00002193548,0.00003393989,0.0003752643,0.0001574158,0.00004605315],"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":[0.00007419055,0.00005294558,0.02264825,0.000002512298,0.00006638981,5.396389e-7,0.00005838232,0.00000758027,0.9700724,0.0002566116,0.00007552996,0.00668466],"study_design_scores_gemma":[0.0003303767,0.0001632745,0.1097461,0.000003579329,0.00001926824,0.000002165085,0.0001749751,0.0000670931,0.8806872,0.0003240053,0.008393982,0.00008804046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996048,0.000490969,0.001575031,0.001380106,0.0000325347,0.0001453996,0.00002337116,0.00001489,0.0002897224],"genre_scores_gemma":[0.9988936,0.000180914,0.00013234,0.00003506148,0.00005231118,0.00001011121,0.0001417316,0.000006049359,0.0005478618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08938526,"threshold_uncertainty_score":0.3214496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114972261397943,"score_gpt":0.3258119557927463,"score_spread":0.2946622331787669,"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."}}