{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348848,0.00007133209,0.0001371183,0.00007871114,0.0003891263,0.00006335927,0.0001963692,0.0001213018,0.000006576818],"category_scores_gemma":[0.0002138402,0.0000328407,0.00002318881,0.0003028435,0.0005679602,0.0001608581,0.00005583096,0.0002384931,3.642494e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009218087,"about_ca_system_score_gemma":0.00004430579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004620748,"about_ca_topic_score_gemma":0.00009438869,"domain_scores_codex":[0.9991814,0.000006609917,0.0002410305,0.0001858428,0.0002016616,0.0001834661],"domain_scores_gemma":[0.9993286,0.0001269825,0.0001915696,0.00003510961,0.0002397018,0.00007808445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001519841,0.000009934313,0.0003386603,0.000003334037,0.000001959108,4.660355e-7,0.00003934358,6.580834e-7,0.7410666,0.1555277,0.000007670587,0.1029885],"study_design_scores_gemma":[0.001886177,0.0018959,0.01668,0.00009569387,0.00006034839,0.0005107951,0.004365614,0.002698853,0.3530476,0.5778763,0.04014072,0.0007420904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956716,0.00006399627,0.0005210541,0.003133635,0.0001479068,0.00004198376,0.000002335849,0.00001798756,0.0003995239],"genre_scores_gemma":[0.9962471,0.00002636422,0.003410629,0.0002005503,0.00008670631,0.000003425317,0.000001131194,6.095233e-7,0.00002350262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223486,"threshold_uncertainty_score":0.2992884,"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."}}