{"id":"W4310612973","doi":"10.1016/b978-0-12-818715-9.00007-8","title":"Basic principles and mechanisms of electromagnetic heating technologies for food processing operations","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Dielectric heating; Microwave; Induction heating; Dielectric; Materials science; Radio frequency; Microwave heating; Process engineering; Blanching; Joule heating; Electromagnetic radiation; Electronic engineering; Optoelectronics; Nuclear engineering; Electrical engineering; Engineering; Optics; Electromagnetic coil; Telecommunications; Physics; Chemistry","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":[0.0001862711,0.000205071,0.0002984818,0.00003048742,0.0004266014,0.00004720857,0.0001871512,0.000157833,0.00003173302],"category_scores_gemma":[0.00003658671,0.00009624992,0.00009559521,0.00001981889,0.00006596273,0.00003304199,0.0001505476,0.000205244,3.519899e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002273462,"about_ca_system_score_gemma":0.0000286704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001928629,"about_ca_topic_score_gemma":0.0002184235,"domain_scores_codex":[0.998977,0.00001130492,0.0003036545,0.0003483472,0.0001559518,0.0002037506],"domain_scores_gemma":[0.9996266,0.00007482887,0.0001300336,0.00006773502,0.00007384148,0.00002693581],"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":[0.000006559713,0.00000520292,4.694447e-7,0.00006955108,0.00001577229,3.157514e-7,0.00004808408,0.00001359918,0.02842368,0.04662832,8.422302e-7,0.9247876],"study_design_scores_gemma":[0.00063268,0.01019737,0.00002942063,0.001502461,0.0004319159,0.00006644686,0.001208814,0.004515459,0.02488881,0.3284165,0.6262645,0.001845638],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09536499,0.01315065,0.000203783,0.001139262,0.0002397779,0.003758738,0.000605949,0.0008974182,0.8846394],"genre_scores_gemma":[0.6727025,0.0001766943,0.008745121,0.0001113542,0.0001265537,0.0004235516,0.0001211961,0.00001420162,0.3175788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.922942,"threshold_uncertainty_score":0.3924958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242821390453562,"score_gpt":0.223309591672981,"score_spread":0.1908813777684453,"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."}}