{"id":"W2085187738","doi":"10.1111/j.1745-4530.2009.00400.x","title":"FOAM‐MAT FREEZE‐DRYING OF APPLE JUICE
PART 1: EXPERIMENTAL DATA AND ANN SIMULATIONS","year":2009,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Freeze-drying; Materials science; Process (computing); Vacuum drying; Chemistry; Chromatography; Pulp and paper industry; Food science; Composite material; Process engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002955029,0.0005743965,0.0004905566,0.0004154675,0.0002559757,0.0002724552,0.0002840112,0.0007984267,0.001447321],"category_scores_gemma":[0.0007442257,0.0002070393,0.0007657814,0.0002654038,0.0001936994,0.0002576915,0.0001252244,0.0003855213,0.000168395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177552,"about_ca_system_score_gemma":0.0002236001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798183,"about_ca_topic_score_gemma":0.009711704,"domain_scores_codex":[0.9999452,0.00001006482,0.000004343123,0.00001352177,0.00001297175,0.00001393591],"domain_scores_gemma":[0.9995136,0.0003131684,0.00002864659,0.00002611164,0.0001033724,0.00001508135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001454403,0.00007893014,0.003418228,0.0001119103,0.00003294524,0.0001203769,0.00002924242,0.9822454,0.007015959,0.0001312914,0.0002436558,0.006426633],"study_design_scores_gemma":[0.000004808537,0.00004338464,0.002240433,0.000006271939,0.000007777844,0.00001061025,0.00001208842,0.9946504,0.002857793,0.00005501001,0.0001068069,0.000004578638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921075,0.0002739636,0.005158998,0.00004737936,0.00001577327,0.00001502877,0.0004233566,0.0001540362,0.001803939],"genre_scores_gemma":[0.9975348,0.00007692648,0.001574608,0.000006189809,0.000001770424,0.00001668737,0.0002999694,0.000009864297,0.0004791754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798183,"threshold_uncertainty_score":0.03575432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814140315317256,"score_gpt":0.2642102016706414,"score_spread":0.2260687985174689,"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."}}