{"id":"W3030586089","doi":"10.1007/978-3-030-42660-6_17","title":"Conventional and Advanced Thermal Processing Technologies for Enhancing Food Safety","year":2020,"lang":"en","type":"book-chapter","venue":"Food engineering series","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Pasteurization; Sterilization (economics); Food processing; Process engineering; Food products; Microwave heating; Materials science; Waste management; Environmental science; Food science; Microwave; Engineering; Chemistry; Business; Telecommunications","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":[0.0001774275,0.0008123632,0.0003529512,0.000711609,0.0002570456,0.0008591809,0.0008772752,0.0006644407,0.01677818],"category_scores_gemma":[0.0001319091,0.0003127112,0.0003340183,0.0009877373,0.0004483718,0.001545461,0.000540149,0.001158589,0.007470374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381625,"about_ca_system_score_gemma":0.0003513346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098888,"about_ca_topic_score_gemma":0.0009031821,"domain_scores_codex":[0.9998148,0.00001154805,0.000005198193,0.00003085006,0.000125057,0.0000125548],"domain_scores_gemma":[0.9999535,0.00001725172,0.000003939507,0.000005115955,0.00001568776,0.000004455191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000109616,0.000225326,0.00007687035,0.001164257,0.00001028469,0.0001363977,0.0001405944,0.001118114,0.1981866,0.0424735,0.04522508,0.7111334],"study_design_scores_gemma":[0.000008506247,0.0001794691,0.0004603539,0.0002498127,0.00001413213,0.0005942769,0.00005756913,0.001506314,0.05889459,0.00972376,0.9282913,0.00002003221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01520089,0.3726151,0.1157842,0.00151302,0.006077553,0.0001910957,0.0004323351,0.0007648676,0.4874209],"genre_scores_gemma":[0.02308674,0.1477874,0.03808334,0.0007817196,0.0009858528,0.0001431227,0.0004158859,0.0002430372,0.7884729],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01677818,"threshold_uncertainty_score":0.05612856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101130221062658,"score_gpt":0.2230919476263064,"score_spread":0.2129789255200406,"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."}}