{"id":"W2336145082","doi":"10.1016/j.meatsci.2016.04.027","title":"Microbial spoilage, quality and safety within the context of meat sustainability","year":2016,"lang":"en","type":"article","venue":"Meat Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Food spoilage; Business; Sustainability; Meat spoilage; Context (archaeology); Food safety; Biotechnology; Quality (philosophy); Food chain; Food science; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156794,0.0003555823,0.0003524151,0.0005893646,0.0005369262,0.002509121,0.000258917,0.0008890015,0.0006054452],"category_scores_gemma":[0.001342083,0.000186638,0.0001922836,0.0006198638,0.001273169,0.001326991,0.001343584,0.0006420262,0.000102057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009036461,"about_ca_system_score_gemma":0.000892357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168475,"about_ca_topic_score_gemma":0.001738755,"domain_scores_codex":[0.9990947,0.0002669089,0.0000330937,0.0001318445,0.0002983821,0.0001750498],"domain_scores_gemma":[0.9992285,0.0001516113,0.0003259306,0.00003304867,0.0001721466,0.00008887897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007060476,0.0002856322,0.1914984,0.0007030959,0.0001614812,0.0008962882,0.002073781,0.00403242,0.7161874,0.02097549,0.0006986647,0.06178146],"study_design_scores_gemma":[0.00001277509,0.001576387,0.4993927,0.0003895129,0.000182538,0.00183198,0.01668786,0.01228666,0.414127,0.03352476,0.01988984,0.00009792628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868246,0.003666716,0.00430864,0.001201638,0.00003575899,0.00001242125,0.0001022708,0.000008964847,0.003838992],"genre_scores_gemma":[0.9971535,0.001182288,0.00101229,0.00006608744,0.00002085142,0.000005663634,0.00003834329,0.000002612281,0.0005183324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002509121,"threshold_uncertainty_score":0.006556451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348375310945987,"score_gpt":0.3086251413845553,"score_spread":0.2851413882750954,"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."}}