{"id":"W2987193755","doi":"10.1016/j.bbalip.2019.158538","title":"Fenretinide favorably affects mucins (MUC5AC/MUC5B) and fatty acid imbalance in a manner mimicking CFTR-induced correction","year":2019,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Ministerstvo Školství, Mládeže a Tělovýchovy; Cystic Fibrosis Canada","keywords":"Fenretinide; Mucin; Cystic fibrosis; Mucus; Goblet cell; Docosahexaenoic acid; Lung; Arachidonic acid; Biology; Eicosanoid; Fatty acid; Immunology; Medicine; Pathology; Internal medicine; Gene; Biochemistry; Epithelium; Retinoid; Polyunsaturated fatty acid; Enzyme","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":[0.000323353,0.0003380518,0.0005765763,0.0002642769,0.0002729459,0.0003785211,0.0003863948,0.0008002155,0.002756068],"category_scores_gemma":[0.0005000141,0.0001429494,0.0003497139,0.0001533684,0.0006213898,0.0004517047,0.0002451593,0.0009107757,0.0004311411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294262,"about_ca_system_score_gemma":0.000462855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007764394,"about_ca_topic_score_gemma":0.0006608643,"domain_scores_codex":[0.9995345,0.0001134445,0.00005541758,0.00009916982,0.0001075201,0.00008998593],"domain_scores_gemma":[0.9997545,0.00005204167,0.00005506297,0.00004365954,0.00003518664,0.00005954834],"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":[0.001194629,0.00007861444,0.0001480178,0.00003318678,0.00001336455,0.000211996,0.00002048202,0.00004847556,0.9959317,0.0001534881,0.00008177805,0.002084288],"study_design_scores_gemma":[0.00009222585,0.0006856282,0.0008568374,0.000004430384,0.00003489193,0.0008002896,0.00004467464,0.0004075825,0.994158,0.00009747617,0.00280903,0.000008953104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933872,0.001152498,0.002312869,0.0004593256,0.0002204608,0.00005428816,0.0002554319,0.0001931164,0.001964821],"genre_scores_gemma":[0.9962567,0.0004028906,0.001227192,0.0001186006,0.00001963415,0.00003009905,0.0001264515,0.00004046366,0.001778025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002756068,"threshold_uncertainty_score":0.009219944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007281948854272843,"score_gpt":0.2621723593392519,"score_spread":0.254890410484979,"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."}}