{"id":"W2114265257","doi":"10.1016/j.archoralbio.2015.02.021","title":"Green tea polyphenol epigallocatechin-3-gallate and cranberry proanthocyanidins act in synergy with cathelicidin (LL-37) to reduce the LPS-induced inflammatory response in a three-dimensional co-culture model of gingival epithelial cells and fibroblasts","year":2015,"lang":"en","type":"article","venue":"Archives of Oral Biology","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Secretion; Aggregatibacter actinomycetemcomitans; Cathelicidin; Chemokine; Chemistry; Pharmacology; Cytokine; Lipopolysaccharide; Matrix metalloproteinase; Interleukin 8; Immunology; Biology; Biochemistry; Innate immune system; Medicine; Internal medicine; Porphyromonas gingivalis; Receptor; Periodontitis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002870847,0.0004636923,0.000492713,0.0003982797,0.0002989196,0.0004128123,0.0002447846,0.0003660652,0.0008612666],"category_scores_gemma":[0.0001156968,0.0002404376,0.0006088774,0.0002913567,0.0002880949,0.0002978804,0.0003087484,0.000688547,0.0001933816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258406,"about_ca_system_score_gemma":0.0005015616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758271,"about_ca_topic_score_gemma":0.004064968,"domain_scores_codex":[0.9996275,0.00007859929,0.00003203507,0.00004331444,0.0001052318,0.0001133397],"domain_scores_gemma":[0.9998879,0.00002357808,0.00001797785,0.00001917298,0.00001565254,0.00003568945],"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":[0.0005970015,0.00009982316,0.0001449264,0.00005576789,0.0000111858,0.00007049728,0.00003274357,0.00003958992,0.9976588,0.00003594915,0.00004793031,0.00120573],"study_design_scores_gemma":[0.0000494974,0.0006720417,0.005048352,0.0000063274,0.00004150396,0.0001659615,0.00007059806,0.000435087,0.9923883,0.00002839532,0.001087269,0.000006679625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947519,0.002574448,0.001340544,0.0001355209,0.00006150649,0.00003238646,0.000182947,0.00004637089,0.000874444],"genre_scores_gemma":[0.9939485,0.001195592,0.002315009,0.00007089216,0.00001752712,0.00005234913,0.0002786773,0.00001181712,0.002109686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001758271,"threshold_uncertainty_score":0.00349611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699646833563263,"score_gpt":0.2905960121051782,"score_spread":0.2635995437695455,"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."}}