{"id":"W4402732159","doi":"10.1016/j.foodhyd.2024.110668","title":"Extraction and functional characterization of fucoidans and alginates from Ecklonia maxima: A focus on skin, immune, and intestinal health","year":2024,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Department of Chemical Engineering, Universiti Teknologi Petronas; Universiteit Stellenbosch; Natural Sciences and Engineering Research Council of Canada; Eesti Teadusagentuur","keywords":"Immune system; Characterization (materials science); Extraction (chemistry); Chromatography; Focus (optics); Chemistry; Biology; Food science; Botany; Nanotechnology; Materials science; Physics; Immunology; Optics","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":[0.0001573281,0.0005470727,0.0001773539,0.000302782,0.0001851292,0.0002163144,0.00009667624,0.0001874661,0.0004843444],"category_scores_gemma":[0.000159493,0.0001096535,0.0003570416,0.0002321381,0.0001482767,0.0002360514,0.0002133801,0.0002845621,0.0001197014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550016,"about_ca_system_score_gemma":0.0002371111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140398,"about_ca_topic_score_gemma":0.002556165,"domain_scores_codex":[0.9999259,0.000008931853,0.000008476394,0.00001383268,0.00002021866,0.00002259236],"domain_scores_gemma":[0.9999292,0.00001348806,0.00001629661,0.000006482324,0.00001871788,0.00001577426],"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":[0.00003198306,0.00000717001,0.0001147982,0.00003023845,0.000003677258,0.00002500165,0.0000162482,0.00003406037,0.9985597,0.00001303779,0.000006109351,0.001158028],"study_design_scores_gemma":[0.000003416609,0.0001171043,0.0113223,0.00001375938,0.00002731868,0.0001383694,0.00005747286,0.0002581465,0.9865347,0.00002106803,0.00149745,0.000008951545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949178,0.001422307,0.002230216,0.0000604162,0.00001528456,0.00002595788,0.0003339991,0.00001357225,0.0009805245],"genre_scores_gemma":[0.9905467,0.0009860737,0.004297973,0.00007414027,0.000006722136,0.00002537077,0.000635437,0.00001792816,0.003409735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00140398,"threshold_uncertainty_score":0.002791643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546813681011297,"score_gpt":0.2240116949467075,"score_spread":0.2085435581365945,"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."}}