{"id":"W2058634242","doi":"10.1002/apj.5500110408","title":"Optimisation of an Agitated Thin Film Evaporator for Concentrating Orange Juice Using Aspen Plus","year":2003,"lang":"en","type":"article","venue":"Developments in Chemical Engineering and Mineral Processing","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orange juice; Evaporator; Heat exchanger; Process engineering; Mass transfer; Orange (colour); Heat transfer; Pilot plant; Energy balance; Environmental science; Chemistry; Materials science; Thermodynamics; Mechanical engineering; Mechanics; Simulation; Pulp and paper industry; Computer science; Engineering; Waste management; Chromatography; 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":[0.0004538292,0.0005319577,0.0006291746,0.0002606093,0.0004856143,0.0007108742,0.000931328,0.0006466582,0.00141208],"category_scores_gemma":[0.0004395525,0.0002850909,0.0005237417,0.0002950654,0.0002349406,0.0005209339,0.0003265254,0.0005094216,0.0003782758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462957,"about_ca_system_score_gemma":0.0005563351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133286,"about_ca_topic_score_gemma":0.004230957,"domain_scores_codex":[0.9996289,0.0000521672,0.00002013766,0.00007205565,0.0001952573,0.00003135656],"domain_scores_gemma":[0.9998335,0.00005549022,0.00002578542,0.00002158945,0.00004925951,0.00001448755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003851379,0.0003872638,0.001536222,0.0004677979,0.00005709646,0.0002298781,0.00007880671,0.1197614,0.8440276,0.0003295106,0.0003916016,0.03234774],"study_design_scores_gemma":[0.0001076304,0.001315633,0.003243421,0.00001199811,0.00005462496,0.0001160446,0.00004577337,0.2724553,0.7187744,0.0001478513,0.003682907,0.00004441436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335226,0.0004632291,0.06141553,0.0001063482,0.00002879478,0.0001801829,0.0002420874,0.0006431017,0.003398107],"genre_scores_gemma":[0.9473649,0.0002375389,0.0496786,0.00002016159,0.000006841939,0.00009007632,0.0001890452,0.0000601135,0.002352652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003133286,"threshold_uncertainty_score":0.006230116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076732547580203,"score_gpt":0.2567893014420923,"score_spread":0.2360219759662903,"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."}}