{"id":"W2950189124","doi":"10.1089/ind.2019.0008","title":"Bioextracting Polyphenols from the Brown Seaweed <i>Ascophyllum nodosum</i> from Québec's North Shore Coastline","year":2019,"lang":"en","type":"article","venue":"Industrial Biotechnology","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Ascophyllum; Polyphenol; Brown seaweed; Antioxidant; Algae; Extraction (chemistry); Botany; Dry weight; Yield (engineering); Food science; Chemistry; Biology; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002010472,0.0004122231,0.000514029,0.00003395113,0.0003178515,0.0001463704,0.001458903,0.001290135,0.001338289],"category_scores_gemma":[0.0004940691,0.0001617688,0.0001932862,0.0009052648,0.0004344665,0.0001709896,0.000565062,0.001411437,0.0007807995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459311,"about_ca_system_score_gemma":0.0001019132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2142244,"about_ca_topic_score_gemma":0.1069782,"domain_scores_codex":[0.9973764,0.0002075207,0.0005055837,0.0008918375,0.0003557501,0.0006628436],"domain_scores_gemma":[0.9970381,0.002004288,0.0003520087,0.0003946049,0.00009012214,0.0001209061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001735303,0.00008170069,0.07806405,4.294519e-7,0.00008695043,0.000008322776,0.00006184549,0.00000382275,0.766317,0.00002307526,0.001761144,0.1534181],"study_design_scores_gemma":[0.002121203,0.001058243,0.1320209,0.00007667689,0.0001181391,0.00001184809,0.003793772,0.0001065167,0.2818181,0.0003542686,0.5774165,0.001103875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497374,0.0003749981,0.000006906811,0.04653478,0.001154095,0.0006429816,0.0008508679,0.0004511909,0.0002468339],"genre_scores_gemma":[0.9958833,0.00003069513,0.0001028352,0.001085198,0.002054178,0.00001888879,0.000525425,0.000006720026,0.000292758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5756554,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364261409898058,"score_gpt":0.2052833000366342,"score_spread":0.1688571590468284,"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."}}