{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009019204,0.0002689193,0.0002938928,0.0002218215,0.00004781456,0.0001129374,0.00009492344,0.0003906659,0.00003402106],"category_scores_gemma":[0.00001053527,0.0002780734,0.00002093304,0.0002428809,0.00005409279,0.0001758606,0.000007733726,0.0002458406,0.000009940995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003084103,"about_ca_system_score_gemma":0.00005432726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001874684,"about_ca_topic_score_gemma":0.0002668905,"domain_scores_codex":[0.9990395,0.00001237395,0.0002836498,0.0002803443,0.0001515497,0.0002326392],"domain_scores_gemma":[0.9997145,0.000006885379,0.0001022867,0.0001235327,0.00002155421,0.00003126512],"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":[0.00005932679,0.0001370537,0.002117505,0.02443535,0.0001909712,0.00001620331,0.004785106,0.007870803,0.008376685,0.001649128,0.04046724,0.9098946],"study_design_scores_gemma":[0.002822056,0.0005613385,0.0005826647,0.006789925,0.0001272069,0.00004210139,0.0007778797,0.1102578,0.02327182,0.001150628,0.8509902,0.002626352],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01572033,0.06661806,0.06051513,0.0002933718,0.0006320727,0.001741278,0.0000487133,0.008998291,0.8454328],"genre_scores_gemma":[0.9943658,0.0002915472,0.001187214,0.00002546161,0.0001117944,0.00005456849,0.00008006461,0.0002439392,0.003639594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786455,"threshold_uncertainty_score":0.9999672,"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."}}