{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005085675,0.00006524016,0.0001444806,0.00004354322,0.0001008451,0.000009891768,0.0001143118,0.00007412367,0.00004086116],"category_scores_gemma":[0.0001033877,0.00004659191,0.00002846724,0.0001384047,0.001080491,0.0002293535,0.00001982842,0.0001069134,0.00002817726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008054337,"about_ca_system_score_gemma":0.000357177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004551224,"about_ca_topic_score_gemma":0.00001081283,"domain_scores_codex":[0.9992046,0.00007560264,0.000304825,0.0002018033,0.00008363734,0.0001295714],"domain_scores_gemma":[0.9993966,0.00022073,0.00009013379,0.00009291449,0.0001671125,0.00003252272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001511877,0.0002682727,0.8591897,0.00001125726,0.0000681005,0.000001372158,0.0004650395,0.00005685716,0.06715734,0.003958629,0.00006190664,0.06724967],"study_design_scores_gemma":[0.003409802,0.0003744869,0.9600462,0.00003673013,0.00002228985,0.000003116783,0.0000158541,0.0001204788,0.03397619,0.0009020632,0.0009937459,0.00009900961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980021,0.0006443829,0.0004643903,0.0001524059,0.0002801101,0.000125055,0.00002091637,0.00001089558,0.0002997897],"genre_scores_gemma":[0.9992423,0.00001320489,0.0005756133,0.00002574522,0.00003443409,0.000002297342,0.00007451825,0.00000260307,0.0000293036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008566,"threshold_uncertainty_score":0.3981115,"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."}}