{"id":"W4387227172","doi":"10.1016/j.foodhyd.2023.109307","title":"Polysaccharides from red seaweeds: Effect of extraction methods on physicochemical characteristics and antioxidant activities","year":2023,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Eesti Teadusagentuur","keywords":"ABTS; DPPH; Polysaccharide; Antioxidant; Chemistry; Carrageenan; Food science; Red algae; Ferric; Functional food; Extraction (chemistry); Biochemistry; Chromatography; Algae; Botany; Organic chemistry; Biology","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":[0.0003063184,0.0005390314,0.0002731362,0.0003534755,0.0001550116,0.0002341503,0.00009339497,0.0001761721,0.0005388359],"category_scores_gemma":[0.0004864385,0.0001546055,0.0003682837,0.0004644266,0.0002073081,0.0003720047,0.0001979049,0.0004276272,0.000106829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105115,"about_ca_system_score_gemma":0.0002275644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000989838,"about_ca_topic_score_gemma":0.001824665,"domain_scores_codex":[0.9998456,0.00003518776,0.00002391254,0.00002205499,0.00003941872,0.00003372904],"domain_scores_gemma":[0.999674,0.0001042091,0.00006897192,0.00002506954,0.00006039505,0.00006734117],"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":[0.0005219335,0.00005420313,0.000798922,0.0001030398,0.0000298729,0.00005733472,0.00005235707,0.0000845648,0.9949567,0.00002417214,0.00001213767,0.003304751],"study_design_scores_gemma":[0.00001794322,0.0004160499,0.01852715,0.00002415966,0.000124143,0.000148823,0.00007590507,0.000296851,0.9794421,0.00003063468,0.0008818639,0.0000143983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994957,0.002777445,0.001480845,0.00003692113,0.00002448011,0.00002391956,0.0001728162,0.00000810568,0.0005186094],"genre_scores_gemma":[0.9940532,0.001913316,0.002442806,0.00005377868,0.0000166009,0.00001658647,0.0004093436,0.00001193065,0.00108235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000989838,"threshold_uncertainty_score":0.001968205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135516010958963,"score_gpt":0.2906808435028291,"score_spread":0.2693256833932395,"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."}}