{"id":"W436229521","doi":"10.1016/j.jfoodeng.2015.05.028","title":"Chitin and chitosan as natural flocculants for beer clarification","year":2015,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flocculation; Chitosan; Chitin; Turbidity; Zeta potential; Chemistry; Pulp and paper industry; Chemical engineering; Colloid; Bentonite; Chromatography; Food science; Organic chemistry; Biology; Nanoparticle","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":[0.0002769661,0.0003315633,0.0002127891,0.000273447,0.0002321995,0.0003684581,0.0002476131,0.000340577,0.0007800121],"category_scores_gemma":[0.000362481,0.000191451,0.0002509864,0.0001511704,0.0002639951,0.0002861927,0.0002382344,0.0004112879,0.0001377645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781473,"about_ca_system_score_gemma":0.0003716001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003439233,"about_ca_topic_score_gemma":0.006542367,"domain_scores_codex":[0.9998453,0.00003614264,0.00001073129,0.00001850454,0.00004992848,0.00003936034],"domain_scores_gemma":[0.999843,0.00004198476,0.00002015911,0.00001026828,0.00003966683,0.00004485557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003587459,0.0001109375,0.0001363002,0.0001088227,0.00002127264,0.00006106213,0.00004186641,0.0002983613,0.9943013,0.00008190122,0.00006941791,0.004410021],"study_design_scores_gemma":[0.0000216833,0.0003534499,0.001042484,0.000007217192,0.00002795574,0.00003234021,0.00002886959,0.000848459,0.9970642,0.00001375633,0.0005494322,0.00001025378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963159,0.002034281,0.0006086954,0.00004604754,0.00002459187,0.00002917423,0.00003789039,0.00001739065,0.0008859721],"genre_scores_gemma":[0.9971905,0.0007923867,0.0007248386,0.0000195234,0.000006513993,0.00001037404,0.00002774395,0.000006795168,0.001221353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003439233,"threshold_uncertainty_score":0.006838441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071938611354822,"score_gpt":0.2372013859845117,"score_spread":0.2164819998709635,"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."}}