{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009789941,0.0003173097,0.0001697905,0.0003844638,0.0008327524,0.0004147541,0.0001419788,0.0001702428,0.0009120934],"category_scores_gemma":[0.0001106163,0.00007503732,0.0001599944,0.000314384,0.0001793682,0.0001457004,0.0001590091,0.0002503156,0.0002142257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345338,"about_ca_system_score_gemma":0.001396124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3867666,"about_ca_topic_score_gemma":0.7079595,"domain_scores_codex":[0.9999315,0.000004063641,0.000003480301,0.00002246245,0.00002163109,0.00001696831],"domain_scores_gemma":[0.9999207,0.00001002586,0.000009609563,0.000003780429,0.00004307607,0.00001278437],"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":[0.00004569996,0.00002012424,0.002322273,0.00007108419,0.000005795444,0.0001115432,0.00006659782,0.0001109586,0.9927204,0.00001937351,0.0001034183,0.004402817],"study_design_scores_gemma":[0.00001518408,0.0004189802,0.2078822,0.00005695628,0.00006421404,0.0004392446,0.0006654263,0.001225779,0.7723609,0.00003611647,0.0168036,0.0000313654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949438,0.0006365429,0.001277592,0.0000902403,0.00001161889,0.00005009054,0.0006344039,0.00002289822,0.002332818],"genre_scores_gemma":[0.9803176,0.0009730174,0.005597014,0.0001034491,0.000006003883,0.00003527585,0.001783847,0.00001675661,0.01116713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6132333,"threshold_uncertainty_score":0.7690308,"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."}}