{"id":"W4386496073","doi":"10.1515/chem-2023-0116","title":"Optimization of gallic acid-enriched ultrasonic-assisted extraction from mango peels","year":2023,"lang":"en","type":"article","venue":"Open Chemistry","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; International Development Research Centre; Government of the United Kingdom","keywords":"Gallic acid; Chemistry; Polyphenol; Extraction (chemistry); Decoction; Chromatography; Solvent; Pomace; Yield (engineering); Nutraceutical; Food science; Botany; Biochemistry; Materials science; Biology; Antioxidant","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":[0.0002817376,0.0005159383,0.0003938053,0.0003556279,0.0001601848,0.0003033049,0.0001995081,0.0003470099,0.0005259903],"category_scores_gemma":[0.0003069394,0.0001677332,0.0003548629,0.000289304,0.0001633802,0.0003027112,0.0002386782,0.0003440972,0.0003114829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588967,"about_ca_system_score_gemma":0.0001935113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005805148,"about_ca_topic_score_gemma":0.001485517,"domain_scores_codex":[0.999817,0.00004027515,0.00001851508,0.00003638196,0.00006036084,0.00002768786],"domain_scores_gemma":[0.9999299,0.00002129207,0.00001512586,0.000004175231,0.0000212179,0.000008294243],"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":[0.00003215244,0.00001761297,0.00006798323,0.0000784385,0.000006147705,0.00002291513,0.00001189949,0.0001141895,0.9978975,0.00001632811,0.00001338418,0.001721396],"study_design_scores_gemma":[0.000009110936,0.000137169,0.001310989,0.00000974975,0.00002515548,0.00004408369,0.00002433664,0.001104777,0.9961415,0.0000176464,0.001166483,0.000008988764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699578,0.00420538,0.02380096,0.0001256428,0.00005153922,0.0001740685,0.0002266705,0.0001013243,0.001356689],"genre_scores_gemma":[0.9588507,0.003064261,0.03410848,0.0001255128,0.00002219317,0.0001844327,0.0004362796,0.00004541958,0.003162638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005805148,"threshold_uncertainty_score":0.001759589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255530873587846,"score_gpt":0.317586620431986,"score_spread":0.2850313116961076,"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."}}