{"id":"W2165492401","doi":"10.1002/9781118846315.ch3","title":"Separation and Concentration Technologies in Food Processing","year":2014,"lang":"en","type":"other","venue":"Food processing","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Microfiltration; Reverse osmosis; Nanofiltration; Ultrafiltration (renal); Process engineering; Filtration (mathematics); Membrane technology; Slurry; Unit operation; Chromatography; Membrane; Environmental science; Chemistry; Pulp and paper industry; Environmental engineering; Engineering; Chemical engineering; Mathematics","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":[0.0007438252,0.001031848,0.0006559017,0.002126547,0.001217864,0.002599908,0.001044316,0.001713964,0.009134066],"category_scores_gemma":[0.0004097254,0.0003963798,0.0005173999,0.003441919,0.0009763672,0.002834138,0.00162431,0.001667444,0.009677612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633433,"about_ca_system_score_gemma":0.001015812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443796,"about_ca_topic_score_gemma":0.00121985,"domain_scores_codex":[0.998704,0.000126328,0.00006978116,0.0002426307,0.0007628183,0.00009449101],"domain_scores_gemma":[0.9998353,0.00003206894,0.00002131913,0.00001737012,0.00007873035,0.00001518587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006872939,0.0001940289,0.000450723,0.00334544,0.00002203212,0.0004397545,0.0003128925,0.00306665,0.05037977,0.1124672,0.03773468,0.791518],"study_design_scores_gemma":[0.000004890443,0.00008241367,0.0004884421,0.0005482205,0.00001318039,0.0005451556,0.0001126539,0.001290655,0.02612527,0.01496872,0.9557895,0.00003087137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01326565,0.408623,0.1163311,0.003865347,0.002479485,0.0003690207,0.0005212583,0.001102452,0.4534427],"genre_scores_gemma":[0.08336562,0.5255631,0.1481431,0.002439,0.001583938,0.0003984516,0.0009975459,0.0003802831,0.237129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009134066,"threshold_uncertainty_score":0.03055644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106052974510926,"score_gpt":0.2388079523006103,"score_spread":0.227747422555501,"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."}}