{"id":"W4401539677","doi":"10.1016/j.ifset.2024.103787","title":"Extended applications of the small-scale radio frequency system for improving the heating performance of multi-component rice","year":2024,"lang":"en","type":"article","venue":"Innovative Food Science & Emerging Technologies","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Key New Drug Creation and Manufacturing Program, Ministry of Science and Technology; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Component (thermodynamics); Scale (ratio); Radio frequency; Computer science; Environmental science; Telecommunications; Physics","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":[0.0001294307,0.000281761,0.0001689376,0.0001358126,0.0001523328,0.0001964145,0.0002109719,0.0001882908,0.001961856],"category_scores_gemma":[0.0001325659,0.00009691114,0.0002020869,0.0001414691,0.0001873062,0.0002622548,0.0002285147,0.0002168188,0.0003371721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482983,"about_ca_system_score_gemma":0.0001136563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002085641,"about_ca_topic_score_gemma":0.0003265731,"domain_scores_codex":[0.9999473,0.000008509533,0.000002747465,0.00001573044,0.00001509863,0.00001051136],"domain_scores_gemma":[0.9999282,0.00001734303,0.00001441808,0.00001280511,0.00001838122,0.000008789256],"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":[0.00005278481,0.00001002697,0.0001324368,0.0000335944,0.000002552337,0.000014035,0.00001260216,0.0002313808,0.9965366,0.0001225542,0.00005034639,0.002801092],"study_design_scores_gemma":[0.00001470019,0.0002825281,0.002176602,0.000002433375,0.00002121138,0.00007771893,0.0000206688,0.003815511,0.9905561,0.00008312664,0.002942784,0.00000670893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725667,0.001025498,0.02322515,0.0001504668,0.00007580599,0.00002523559,0.000070986,0.0002453188,0.002614815],"genre_scores_gemma":[0.9922103,0.0001672829,0.006034961,0.00003003133,0.0000158182,0.00001380782,0.0000453096,0.00001809853,0.00146445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001961856,"threshold_uncertainty_score":0.006563067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110323537901248,"score_gpt":0.2508560811835707,"score_spread":0.2398237273934459,"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."}}