{"id":"W2036319132","doi":"10.1016/j.jfoodeng.2003.09.025","title":"High pressure inactivation kinetics of amylase in apple juice","year":2003,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Amylase; Kinetics; Substrate (aquarium); Chromatography; Starch; Hydrolysis; Central composite design; Enzyme; Food science; Biochemistry; Response surface methodology","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":[0.0002716678,0.0003352737,0.0002901761,0.0001376287,0.0001535729,0.0005683234,0.0002555329,0.0003381182,0.001030453],"category_scores_gemma":[0.0004911312,0.000206838,0.0002625946,0.000171994,0.0002235732,0.0004743496,0.0001699552,0.0007357821,0.0003145963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466124,"about_ca_system_score_gemma":0.0001930791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006295,"about_ca_topic_score_gemma":0.000573565,"domain_scores_codex":[0.9998152,0.00002313275,0.00001029331,0.00003314569,0.00007287243,0.00004550692],"domain_scores_gemma":[0.9997543,0.0001125263,0.00003123225,0.0000194536,0.00005331584,0.00002931481],"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":[0.0002333542,0.00002893696,0.0002458744,0.00002363188,0.000005091716,0.00003029602,0.00003889151,0.0001275426,0.9976169,0.00004163915,0.0000279527,0.001579884],"study_design_scores_gemma":[0.000007127602,0.000194855,0.002247337,0.000003635861,0.000006373057,0.00004187459,0.00001838369,0.001740279,0.9954596,0.00002271401,0.0002530527,0.000004758641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961199,0.0006775222,0.002451494,0.00004597319,0.0000142207,0.00001125294,0.00008687871,0.00005530363,0.0005375646],"genre_scores_gemma":[0.9973132,0.0003450397,0.0007477658,0.00001557996,0.000006468714,0.000007190699,0.0001425876,0.00002060088,0.001401615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030453,"threshold_uncertainty_score":0.003447175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008015781647707507,"score_gpt":0.2313491730632264,"score_spread":0.2233333914155189,"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."}}