{"id":"W2769547759","doi":"10.1016/j.jcf.2017.10.013","title":"Multiple reaction monitoring mass spectrometry to identify novel plasma protein biomarkers of treatment response in cystic fibrosis pulmonary exacerbations","year":2017,"lang":"en","type":"article","venue":"Journal of Cystic Fibrosis","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Prevention of Organ Failure; St. Paul's Hospital; University of British Columbia","funders":"Providence Health Care Research Institute; Genome British Columbia; Cystic Fibrosis Canada; Canadian Lung Association; British Columbia Lung Association; Providence Health Care; University of Victoria","keywords":"Cystic fibrosis; Medicine; Antibiotics; Fibrinogen; Biomarker; Inflammation; Internal medicine; Gastroenterology; C-reactive protein; Blood proteins; Acute-phase protein; Immunology; Microbiology; Biochemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001332798,0.0003483392,0.000889492,0.001461463,0.0002598243,0.0001372111,0.0004347332,0.0001652601,0.00004267209],"category_scores_gemma":[0.01021235,0.0003023754,0.0003408575,0.0006225472,0.0001846155,0.0006849716,0.0001092054,0.0003766888,0.00002091879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854464,"about_ca_system_score_gemma":0.0005452473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003670838,"about_ca_topic_score_gemma":0.0000193651,"domain_scores_codex":[0.9964864,0.0002038033,0.0012932,0.0003998116,0.00104936,0.0005673824],"domain_scores_gemma":[0.9956188,0.001505085,0.001062636,0.0008449422,0.0004858054,0.0004827804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02686872,0.0005314518,0.042454,0.0002764805,0.0002294315,0.0001615876,0.0001816452,0.0003493987,0.9258384,0.000004095471,0.00004010385,0.003064764],"study_design_scores_gemma":[0.003457188,0.004752332,0.6563102,0.002926497,0.0001814298,0.0002777333,0.000434506,0.0009214538,0.3299707,0.00007083989,0.0004874202,0.0002096358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924494,0.0003955219,0.004682619,0.000770231,0.0004369139,0.001020696,0.0001106182,0.00002152435,0.0001124932],"genre_scores_gemma":[0.8530989,0.0000489006,0.146165,0.000002999825,0.0002457649,0.00009064095,0.00000583471,0.00004911154,0.0002928411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6138562,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228388150044258,"score_gpt":0.3458375599940242,"score_spread":0.3135536784935816,"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."}}