{"id":"W2905189957","doi":"10.1186/s13223-018-0311-4","title":"Superior effect of MP-AzeFlu than azelastine or fluticasone propionate alone on reducing inflammatory markers","year":2018,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mylan","keywords":"Fluticasone propionate; Eosinophil; Azelastine; Fluticasone; Fetal bovine serum; Medicine; Trypan blue; Peripheral blood mononuclear cell; Eosinophil cationic protein; Interleukin; Immunology; Internal medicine; Andrology; Endocrinology; Pharmacology; Chemistry; Cytokine; In vitro; Asthma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001744582,0.0003901145,0.000643854,0.000275871,0.00009903357,0.0002309082,0.0002252846,0.000501878,0.002507953],"category_scores_gemma":[0.0001827142,0.000116173,0.0003216128,0.0001184738,0.0001479818,0.0003106155,0.0001253226,0.0006348405,0.0003170964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009799487,"about_ca_system_score_gemma":0.0001520414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000375026,"about_ca_topic_score_gemma":0.0006361885,"domain_scores_codex":[0.9998777,0.00002490882,0.00001380057,0.00002284227,0.00002482577,0.00003596852],"domain_scores_gemma":[0.9999084,0.0000269362,0.00001247811,0.000006912222,0.000008874724,0.0000363153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.005758038,0.0007534205,0.0001777754,0.000221031,0.00003096496,0.00009353338,0.00002137851,0.00008838393,0.9781532,0.00003425689,0.000201261,0.01446664],"study_design_scores_gemma":[0.001671301,0.05283793,0.01900429,0.00006069233,0.0002420049,0.000892077,0.00007178124,0.001332592,0.9190721,0.00004915676,0.004740276,0.00002584398],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991959,0.006147277,0.0004059234,0.0001387008,0.0001182772,0.00003866891,0.0002061702,0.00003648482,0.0009495395],"genre_scores_gemma":[0.9924958,0.003503619,0.001443299,0.0000960025,0.00009693897,0.00005168802,0.0004230583,0.000006333458,0.001883226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002507953,"threshold_uncertainty_score":0.00838995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467013199742701,"score_gpt":0.3150151555171523,"score_spread":0.3003450235197253,"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."}}