{"id":"W1975304265","doi":"10.1016/j.jfoodeng.2014.05.024","title":"Kinetics of Escherichia coli inactivation in frozen aqueous suspensions by high pressure and its application to frozen chicken meat","year":2014,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Congelation; Kinetics; Escherichia coli; Chromatography; High pressure; Aqueous solution; Analytical Chemistry (journal); Biochemistry","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":[0.0003558729,0.0003420569,0.0002189862,0.0001901889,0.0001627664,0.0004399644,0.0002642464,0.0003209799,0.0008129466],"category_scores_gemma":[0.0005598987,0.000198181,0.000267195,0.0002168445,0.0003047885,0.0003108626,0.0001507471,0.0005532928,0.0003008968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756733,"about_ca_system_score_gemma":0.000235361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588227,"about_ca_topic_score_gemma":0.0007494378,"domain_scores_codex":[0.9998305,0.00003418963,0.00001054457,0.00003641005,0.00005264646,0.00003569856],"domain_scores_gemma":[0.9996031,0.0001839526,0.00005957658,0.00003161941,0.00009425625,0.00002757428],"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":[0.0003422441,0.00003511438,0.0004349123,0.00004377859,0.000006745716,0.00003186024,0.00008170389,0.0002177553,0.9958668,0.00006603698,0.00003485025,0.002838212],"study_design_scores_gemma":[0.000003374878,0.0003117769,0.00187703,0.000004654716,0.000008944196,0.00002995598,0.00003193353,0.001113467,0.9963164,0.00001549787,0.0002823777,0.000004655333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891972,0.001041867,0.007566065,0.0001063584,0.00002908902,0.00003917608,0.0002537953,0.00007945435,0.00168698],"genre_scores_gemma":[0.9946067,0.0007190017,0.002333689,0.00002394139,0.00001292457,0.00002657554,0.0002012077,0.00002189666,0.00205409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001588227,"threshold_uncertainty_score":0.003157973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005672850297944322,"score_gpt":0.2258625574592659,"score_spread":0.2201897071613216,"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."}}