{"id":"W3009381066","doi":"","title":"Going beyond conventional osmotic dehydration for quality advantage and energy savings","year":2010,"lang":"en","type":"article","venue":"Ethiopian Journal of Applied  Science and Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Osmotic dehydration; Moisture; Shrinkage; Pulp and paper industry; Chemistry; Mass transfer; Dehydration; Water content; Process engineering; Environmental science; Materials science; Chromatography; Engineering; Composite material","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":[0.0003440843,0.0004018877,0.0004818279,0.0004519719,0.0003790988,0.001262421,0.0004726656,0.0006582146,0.00746207],"category_scores_gemma":[0.0002413467,0.0001739432,0.0005036478,0.0004929556,0.0004693193,0.002240807,0.0009643923,0.001204385,0.002179225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745997,"about_ca_system_score_gemma":0.000426521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004709941,"about_ca_topic_score_gemma":0.001308313,"domain_scores_codex":[0.9997117,0.00002936952,0.00001047275,0.00005596109,0.0001435659,0.0000488112],"domain_scores_gemma":[0.9998362,0.00002559864,0.00003176864,0.0000238485,0.00005714431,0.00002541082],"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":[0.0002102833,0.0002510496,0.0009019907,0.003649116,0.00007346804,0.0004594364,0.0002862699,0.001440695,0.6914518,0.04271571,0.008226999,0.2503332],"study_design_scores_gemma":[0.00003346315,0.0008943819,0.004656814,0.0006884382,0.0001344196,0.001596586,0.0005413896,0.003857182,0.3120665,0.02411601,0.6513206,0.00009410938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2580985,0.3582841,0.1846112,0.01514928,0.003310066,0.0003546407,0.0005961694,0.001388206,0.1782079],"genre_scores_gemma":[0.6410397,0.1715208,0.09420835,0.00582122,0.001324268,0.0001143036,0.0005619356,0.0004644021,0.08494514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00746207,"threshold_uncertainty_score":0.02496314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218799038058505,"score_gpt":0.2522865745575441,"score_spread":0.240098584176959,"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."}}