{"id":"W2043887761","doi":"10.1016/j.indcrop.2014.03.041","title":"Potential of antioxidant extracts produced by aqueous processing of renewable resources for the formulation of cosmetics","year":2014,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Federación Española de Enfermedades Raras; European Commission; Xunta de Galicia; Mountain Equipment Co-operative","keywords":"Cosmetics; Chemistry; Antioxidant; Extraction (chemistry); Fractionation; Food science; Chromatography; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001290157,0.0003935032,0.0001499003,0.00034881,0.0001592342,0.0002763784,0.00009756568,0.0002251609,0.00120209],"category_scores_gemma":[0.0001383686,0.00009415522,0.000278123,0.0001326861,0.0001323473,0.0002783885,0.0001401213,0.0003183296,0.0001895415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009146373,"about_ca_system_score_gemma":0.000134998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003470783,"about_ca_topic_score_gemma":0.0006820448,"domain_scores_codex":[0.9999495,0.00001025354,0.000003634154,0.000009746503,0.00001338536,0.0000135915],"domain_scores_gemma":[0.999938,0.00001677191,0.00001369044,0.000003597828,0.00001650474,0.00001146841],"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":[0.0001603175,0.00003316251,0.0001280577,0.00008773195,0.00000915603,0.0000644979,0.00001947385,0.0001227713,0.9956895,0.00009283234,0.00002694281,0.003565546],"study_design_scores_gemma":[0.00000866833,0.000266761,0.0006138355,0.00001218193,0.00003362288,0.00007219934,0.00002434796,0.000335992,0.9974987,0.00003659589,0.001093564,0.000003492716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903492,0.003941985,0.002865595,0.0000947134,0.0000598358,0.00002107626,0.0001167865,0.00002707915,0.002523764],"genre_scores_gemma":[0.9954631,0.001451729,0.001223725,0.00003569086,0.00001474985,0.000006171395,0.00008572919,0.00001036473,0.001708671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120209,"threshold_uncertainty_score":0.004021347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709190735397625,"score_gpt":0.2336342752082053,"score_spread":0.1965423678542291,"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."}}