{"id":"W2054893534","doi":"10.1016/j.meatsci.2007.03.007","title":"Microbiological conditions of meats from large game animals and birds","year":2007,"lang":"en","type":"article","venue":"Meat Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Veterinary medicine; Animal science; Zoology; Wild boar; Fishery; Food science; Ecology","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":[0.0004872323,0.00005415638,0.00006495063,0.00005300493,0.0001087908,0.00002192581,0.0001807176,0.00005403364,0.00005664526],"category_scores_gemma":[0.0001460704,0.00004700413,0.00002270544,0.0001758616,0.0005246105,0.000004583145,0.00006719615,0.00002919702,0.00001699168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004145877,"about_ca_system_score_gemma":0.00003252598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008074111,"about_ca_topic_score_gemma":0.00001289544,"domain_scores_codex":[0.9993054,0.00001636559,0.0001593068,0.0002714978,0.00009667996,0.0001507988],"domain_scores_gemma":[0.9995186,0.00001539379,0.00006297181,0.0002186722,0.0001348352,0.00004954355],"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":[0.000007008441,0.00002850201,0.004348789,0.000001560962,0.00000299954,1.833322e-7,0.0000426363,3.486774e-7,0.9918798,0.003383347,0.0001953374,0.0001095214],"study_design_scores_gemma":[0.0001258766,0.00003624759,0.1271773,0.000003263546,0.000003566746,0.000003547633,0.00008612587,0.00001014398,0.8623887,0.00009703368,0.01001205,0.00005613438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946099,0.0002782263,0.00387634,0.00008175208,0.0001151891,0.00006723004,0.00007981142,0.000008263503,0.0008832852],"genre_scores_gemma":[0.9990142,0.00002941569,0.000551018,0.0001036295,0.00002306693,0.000002090979,0.00004633102,0.000002964837,0.000227262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129491,"threshold_uncertainty_score":0.1932949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967538972560556,"score_gpt":0.3115807225084891,"score_spread":0.2919053327828835,"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."}}