{"id":"W2014969421","doi":"10.1371/journal.pone.0106766","title":"Synergistic Anti-Inflammatory Activity of the Antimicrobial Peptides Human Beta-Defensin-3 (hBD-3) and Cathelicidin (LL-37) in a Three-Dimensional Co-Culture Model of Gingival Epithelial Cells and Fibroblasts","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Beta defensin; Cathelicidin; Antimicrobial peptides; Aggregatibacter actinomycetemcomitans; Secretion; Lipopolysaccharide; Microbiology; Defensin; Antimicrobial; Chemistry; Cytotoxic T cell; Immune system; Biology; Immunology; Molecular biology; Porphyromonas gingivalis; In vitro; Bacteria; Biochemistry","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":[0.0002723732,0.0004912274,0.0005258667,0.0002488322,0.0001479404,0.0004053079,0.0001830055,0.0003733883,0.0004438252],"category_scores_gemma":[0.00008722026,0.0002078597,0.0005847265,0.0002017338,0.0002323665,0.0002164782,0.0003379504,0.0005675236,0.0001380515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198452,"about_ca_system_score_gemma":0.0003595409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008230038,"about_ca_topic_score_gemma":0.001851714,"domain_scores_codex":[0.999651,0.00007789797,0.00003373115,0.00005275275,0.0001186033,0.00006610098],"domain_scores_gemma":[0.9998618,0.00003298565,0.00003492042,0.00001764947,0.00001608021,0.00003652119],"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":[0.0001506122,0.00003904755,0.0001028004,0.00005834409,0.000005212659,0.00008073366,0.00001654816,0.000120401,0.9985417,0.00001639649,0.00001666437,0.0008515294],"study_design_scores_gemma":[0.00003132796,0.001283975,0.003003686,0.00001239576,0.00003608936,0.000381128,0.00007047231,0.001383079,0.9925082,0.00002442152,0.00125493,0.00001030204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923583,0.004018343,0.002410786,0.000088812,0.00005100491,0.00003879798,0.0001842231,0.00002860352,0.0008212196],"genre_scores_gemma":[0.990389,0.001786916,0.00670694,0.00007343665,0.00001650258,0.00006589438,0.0001745815,0.000005343101,0.0007811764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008230038,"threshold_uncertainty_score":0.001636446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840688951596786,"score_gpt":0.2056933052560023,"score_spread":0.1872864157400345,"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."}}