{"id":"W4402615536","doi":"10.3390/biology13090729","title":"Euterpe oleracea Mart. Bioactive Molecules: Promising Agents to Modulate the NLRP3 Inflammasome","year":2024,"lang":"en","type":"article","venue":"Biology","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Inflammasome; Apigenin; Nigericin; Inflammation; Biology; Anti-inflammatory; Pharmacology; Biochemistry; Cell biology; Flavonoid; Antioxidant; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00007977222,0.0002668559,0.0004096526,0.0003763709,0.0001328106,0.0002145021,0.0001516362,0.0002186115,0.001066717],"category_scores_gemma":[0.00007056528,0.0001098317,0.0004199423,0.0002078439,0.00008091854,0.0002542684,0.000167929,0.0003998069,0.0002598389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533426,"about_ca_system_score_gemma":0.00009980927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006630907,"about_ca_topic_score_gemma":0.001283233,"domain_scores_codex":[0.999971,0.000005393977,0.000002541016,0.000008135269,0.000008008411,0.000004997161],"domain_scores_gemma":[0.999976,0.000004759602,0.000008470267,0.000002086302,0.000004091424,0.000004590453],"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":[0.0004137816,0.0001409969,0.0003966647,0.0006238205,0.00004872733,0.0003009125,0.00002189742,0.002549297,0.9806296,0.0006057611,0.000258064,0.01401037],"study_design_scores_gemma":[0.0003513438,0.002704515,0.01375722,0.0001748973,0.0003658045,0.0009997492,0.0000756916,0.01072059,0.913942,0.001981649,0.05486697,0.00005949459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237198,0.05383795,0.01195059,0.000947692,0.000133763,0.0001214886,0.001756255,0.0003237699,0.00720876],"genre_scores_gemma":[0.9791088,0.008769394,0.008185781,0.0002828185,0.00002189981,0.00004142447,0.000550548,0.00003078088,0.003008623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066717,"threshold_uncertainty_score":0.00356853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039056634144792,"score_gpt":0.2770006969749142,"score_spread":0.2666101306334663,"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."}}