{"id":"W2913583808","doi":"10.1016/j.jfoodeng.2019.02.014","title":"Effects of high hydrostatic pressure and polysaccharidases on the extraction of antioxidant compounds from red macroalgae, Palmaria palmata and Solieria chordalis","year":2019,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de la Gaspésie et des Îles; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Institut sur la Nutrition et les Aliments Fonctionnels; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Hydrostatic pressure; Cellulase; Polyphenol; Antioxidant; Extraction (chemistry); Phytochemical; Chemistry; Polysaccharide; Botany; Food science; Hot water extraction; Enzymatic hydrolysis; Biology; Biochemistry; Enzyme; Chromatography","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":[0.0001561449,0.0003258276,0.0001929407,0.0001414975,0.0002100308,0.0002453971,0.000126222,0.0001796713,0.0008862634],"category_scores_gemma":[0.0002635108,0.0001395155,0.000231712,0.0002278373,0.0002629092,0.00033818,0.0001830171,0.0003901294,0.0001536166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590194,"about_ca_system_score_gemma":0.0003166669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178903,"about_ca_topic_score_gemma":0.002418568,"domain_scores_codex":[0.9998837,0.00001780647,0.00001287166,0.00002311147,0.00002998629,0.00003248264],"domain_scores_gemma":[0.9998548,0.00004440925,0.0000341038,0.000009176228,0.00001990973,0.00003762751],"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":[0.0008874094,0.00005285591,0.0003883091,0.0001151431,0.00002676,0.00007278696,0.00006357237,0.00009835339,0.9954105,0.00004034922,0.00004300295,0.002800936],"study_design_scores_gemma":[0.00002372042,0.0003889759,0.005819898,0.000008892747,0.00003615373,0.00008353059,0.00007863919,0.0002468697,0.9922268,0.00002826053,0.001046099,0.0000120538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970848,0.001473121,0.0005102398,0.00005629339,0.00003396968,0.00001049445,0.0001317234,0.00001406637,0.0006852464],"genre_scores_gemma":[0.9973834,0.0008339583,0.0005821406,0.000036285,0.00001536814,0.000007477706,0.0001918843,0.000008965173,0.0009404722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178903,"threshold_uncertainty_score":0.002964854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005978984991760914,"score_gpt":0.1781710271469788,"score_spread":0.1721920421552179,"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."}}