{"id":"W4411220792","doi":"10.1111/jfpe.70163","title":"Review of the Mechanisms, Pros and Cons of Some Drying Technologies Applicable to Agricultural Food Products' Processing","year":2025,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"cons; Agriculture; Agricultural engineering; Computer science; Biochemical engineering; Biotechnology; Engineering; Biology; Ecology","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":[0.0003156933,0.000129659,0.0003384475,0.00003950695,0.00008086927,0.00002326473,0.0003289283,0.0000614851,4.732161e-7],"category_scores_gemma":[0.0003772205,0.00004581573,0.00006946154,0.0007109916,0.00002665971,0.0001597869,0.00009834785,0.0001946385,4.950084e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001399831,"about_ca_system_score_gemma":0.00004211003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002077779,"about_ca_topic_score_gemma":0.000001716828,"domain_scores_codex":[0.9990276,0.00001064682,0.000457272,0.0001425955,0.0001907691,0.0001711698],"domain_scores_gemma":[0.9991958,0.00004179267,0.0003073421,0.00005471792,0.0003698142,0.00003052214],"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":[0.00001301495,0.00005117756,0.00005578219,0.009488958,0.00006891787,2.543975e-7,0.0001706998,0.001337355,0.9633749,0.001343044,0.0000839848,0.02401198],"study_design_scores_gemma":[0.0001615558,0.0007120192,0.0005879117,0.02071811,0.0001112239,0.00004168274,0.0008547591,0.0001655113,0.9745247,0.001214012,0.0007162766,0.0001921785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929978,0.06590631,0.0003548374,0.00310029,0.0001048799,0.0004620276,0.000007963721,0.00005374446,0.00003196482],"genre_scores_gemma":[0.9978421,0.0008048466,0.001216784,0.00007136825,0.0000357993,0.00001808383,4.293763e-7,0.000001419461,0.000009162695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06786413,"threshold_uncertainty_score":0.1868311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075457855365247,"score_gpt":0.2112916233977548,"score_spread":0.2005370448441023,"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."}}