{"id":"W1697895173","doi":"10.1111/cts.12256","title":"Lipidomic Profiling of Sinus Mucosa from Patients with Chronic Rhinosinusitis","year":2015,"lang":"en","type":"article","venue":"Clinical and Translational Science","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Center for Research Resources; National Institutes of Health","keywords":"Nasal polyps; Chronic rhinosinusitis; Sinusitis; Chromatography; Chemistry; Mass spectrometry; Electrospray ionization; Tandem mass spectrometry; Lipidomics; Gastroenterology; Medicine; Pathology; Internal medicine; Biochemistry; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002004696,0.0003061447,0.0003304859,0.0008101279,0.0003235848,0.0003926808,0.00009186564,0.0003051728,0.000585943],"category_scores_gemma":[0.0004820743,0.000119335,0.0001563901,0.0004294759,0.0002043909,0.0001582988,0.0002682464,0.0001948672,0.0001451244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251353,"about_ca_system_score_gemma":0.0001491567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195602,"about_ca_topic_score_gemma":0.001531735,"domain_scores_codex":[0.9998268,0.0000288507,0.00002766095,0.00004211931,0.00004372787,0.00003086488],"domain_scores_gemma":[0.999855,0.00002365898,0.00004005077,0.00001047257,0.00004592242,0.00002491992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001767632,0.00008068508,0.6260517,0.000123295,0.0001066203,0.001278021,0.0005059618,0.0000763825,0.3535223,0.00002713492,0.0001461879,0.01631409],"study_design_scores_gemma":[0.00002873909,0.000680902,0.9802639,0.00001945879,0.00008255223,0.00265306,0.0008704406,0.0003142997,0.01415717,0.00003096993,0.0008888766,0.000009611702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992777,0.0003443055,0.0000920567,0.00001573146,0.000004233304,0.000007231552,0.0001213046,0.000002336762,0.0001350476],"genre_scores_gemma":[0.9986364,0.0003331913,0.0003742303,0.00004570455,0.00001097459,0.00001221585,0.0004431994,0.000002865448,0.0001412913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001195602,"threshold_uncertainty_score":0.002377272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492251103996151,"score_gpt":0.2815914564078085,"score_spread":0.256668945367847,"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."}}