{"id":"W2148798652","doi":"10.1089/jmf.2011.0316","title":"Anthocyanin-Rich Black Currant Extract and Cyanidin-3- <i>O</i> -Glucoside Have Cytoprotective and Anti-Inflammatory Properties","year":2012,"lang":"en","type":"article","venue":"Journal of Medicinal Food","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Anthocyanin; Cyanidin; Cytotoxicity; Chemistry; Lipopolysaccharide; Ribes; Viability assay; Flavonoid; Berry; Pharmacology; Biochemistry; Antioxidant; Cell; Biology; Food science; Botany; Immunology; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00143151,0.0002147752,0.0005028648,0.0001858348,0.0001899795,0.00005739958,0.0001778152,0.0001998007,0.0001480198],"category_scores_gemma":[0.0003118094,0.0001478845,0.00008194766,0.00008571665,0.0005733952,0.0005194121,0.0001050038,0.0009067399,0.00003074202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004329037,"about_ca_system_score_gemma":0.0001001831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002659627,"about_ca_topic_score_gemma":0.00004577201,"domain_scores_codex":[0.998181,0.0002793973,0.0005279467,0.0001801946,0.0003689673,0.0004624412],"domain_scores_gemma":[0.9988601,0.0001247334,0.0003222361,0.0001408682,0.0002329549,0.0003191562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009571562,0.0002371739,0.3757537,0.0003597242,0.0003947486,0.000605541,0.003608594,0.000001662543,0.6063682,0.0001623617,0.002820211,0.008730921],"study_design_scores_gemma":[0.005177394,0.003486033,0.6630321,0.001163227,0.0003052329,0.02770201,0.006414452,0.00003348994,0.2692044,0.0002265703,0.02264341,0.0006117221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749027,0.0232465,0.00007932432,0.0005750894,0.0005744431,0.0002202264,0.00001480619,0.00001141165,0.0003755039],"genre_scores_gemma":[0.9972863,0.00130217,0.000183955,0.0001152685,0.0008396631,0.000003112965,0.000001019315,0.00002216805,0.000246295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3371638,"threshold_uncertainty_score":0.6030554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460242494919329,"score_gpt":0.2860989364438519,"score_spread":0.2514965114946586,"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."}}