{"id":"W4212833832","doi":"10.3390/molecules27041323","title":"In Vivo Anti-Inflammatory Effect, Antioxidant Activity, and Polyphenolic Content of Extracts from Capsicum chinense By-Products","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Libera Università di Bolzano; Consejo Nacional de Ciencia y Tecnología; International Development Research Centre","keywords":"Polyphenol; Chemistry; Antioxidant; ABTS; Food science; Trolox; Maceration (sewage); Pepper; Anti-inflammatory; DPPH; Biochemistry; Biology; Pharmacology","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":[0.0001582772,0.0007709809,0.0002643515,0.0005038406,0.0001844635,0.0002836193,0.0001320132,0.0002205723,0.0003950363],"category_scores_gemma":[0.000109818,0.0001159925,0.0004118726,0.00024762,0.000160112,0.0002119246,0.0001545774,0.0003054048,0.00007398263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181295,"about_ca_system_score_gemma":0.0002597227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013885,"about_ca_topic_score_gemma":0.002344144,"domain_scores_codex":[0.9999211,0.00001387498,0.000007789838,0.00001768981,0.00002136998,0.00001824476],"domain_scores_gemma":[0.9998754,0.00002001208,0.00004691137,0.00001092191,0.00002526138,0.00002134987],"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":[0.0001172771,0.0000339085,0.001182838,0.00008512849,0.00002485497,0.000032964,0.00001369417,0.00002547197,0.9971723,0.0000106649,0.000005828533,0.001295066],"study_design_scores_gemma":[0.00002377167,0.001216401,0.1445656,0.00001973967,0.0002496596,0.0002435273,0.00009427711,0.0006279632,0.8516352,0.00004320229,0.001266786,0.00001391355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963974,0.002477465,0.0006029675,0.00005082818,0.000008859043,0.00001964063,0.0001441038,0.00001409512,0.000284433],"genre_scores_gemma":[0.9967775,0.001418037,0.0008949462,0.00004360082,0.00001403917,0.00002224586,0.0002901807,0.000005931603,0.0005335354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013885,"threshold_uncertainty_score":0.002760828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661795322056972,"score_gpt":0.2296572798712071,"score_spread":0.2130393266506374,"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."}}