{"id":"W2917455923","doi":"10.1007/s00441-018-02984-7","title":"Human cathelicidin improves colonic epithelial defenses against Salmonella typhimurium by modulating bacterial invasion, TLR4 and pro-inflammatory cytokines","year":2019,"lang":"en","type":"article","venue":"Cell and Tissue Research","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Alberta Agriculture and Forestry","keywords":"Cathelicidin; TLR4; Internalization; Biology; Microbiology; Innate immune system; Proinflammatory cytokine; Antimicrobial peptides; Epithelium; Salmonella; Intestinal epithelium; Lipopolysaccharide; Cytokine; Immunology; Cell biology; Inflammation; Immune system; Receptor; Antimicrobial; 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":[0.0001798252,0.0003164511,0.0003450829,0.0001411736,0.0001566192,0.0003206032,0.0001409034,0.0003313263,0.001331742],"category_scores_gemma":[0.0001911603,0.0001305067,0.0001993931,0.0001107468,0.0002427878,0.0002477045,0.0001993313,0.0009130734,0.0001480472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177302,"about_ca_system_score_gemma":0.0003254532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004151173,"about_ca_topic_score_gemma":0.0009176587,"domain_scores_codex":[0.9998267,0.0000518536,0.00001488907,0.00002156605,0.00002927056,0.00005567378],"domain_scores_gemma":[0.9998356,0.00002120239,0.00003507547,0.0000203332,0.00001786469,0.00006988355],"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":[0.0073451,0.0004417401,0.0004301267,0.00009871935,0.00001537911,0.00006010166,0.00002790052,0.0000688816,0.9847471,0.00003857744,0.00006549514,0.006660901],"study_design_scores_gemma":[0.0007039745,0.01585699,0.01113844,0.00002469795,0.0001129012,0.0002386968,0.0001014583,0.0006407937,0.9676735,0.00007607251,0.003419064,0.00001336008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982389,0.0008854699,0.000326536,0.00007883535,0.00003861759,0.00001447035,0.00006443374,0.00002752995,0.0003251786],"genre_scores_gemma":[0.9969422,0.0004828562,0.0008582449,0.00007302524,0.00002302832,0.0000164986,0.0001104815,0.00000793554,0.001485704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001331742,"threshold_uncertainty_score":0.004455149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020619648374642,"score_gpt":0.2737472518530343,"score_spread":0.2531276034783922,"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."}}