{"id":"W2516898003","doi":"10.1371/journal.pone.0161129","title":"COPD Exacerbation Biomarkers Validated Using Multiple Reaction Monitoring Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Genome British Columbia; Vancouver General Hospital; Ottawa Hospital; Prevention of Organ Failure; University of Ottawa; St. Paul's Hospital","funders":"National Heart, Lung, and Blood Institute; Reseau canadien de recherche respiratoire; Genome Canada; Canadian Institutes of Health Research; Genome British Columbia; St. Paul's Foundation","keywords":"Medicine; COPD; Cohort; Biomarker; Internal medicine; Convalescence; Acute exacerbation of chronic obstructive pulmonary disease; Cohort study; Receiver operating characteristic; Exacerbation; Logistic regression; Oncology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004452206,0.0009335682,0.0007801192,0.001807353,0.0004054972,0.0008933856,0.0005439078,0.0009057407,0.0005712743],"category_scores_gemma":[0.00545598,0.0002498159,0.0007434036,0.001082011,0.0003803754,0.0004261593,0.0006665768,0.0008325192,0.0004899503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004316219,"about_ca_system_score_gemma":0.0005278068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008691413,"about_ca_topic_score_gemma":0.0008119708,"domain_scores_codex":[0.9973508,0.0007199033,0.0002113115,0.0007043594,0.0008900299,0.0001236016],"domain_scores_gemma":[0.9973215,0.0006784861,0.0009428425,0.0001678417,0.0007346504,0.0001547642],"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":[0.00260451,0.001090664,0.3932503,0.0007246804,0.0009951338,0.0004389831,0.0002918016,0.007431301,0.5030131,0.0003679436,0.00182002,0.08797144],"study_design_scores_gemma":[0.0002707653,0.00392114,0.6234657,0.0002105039,0.0007024589,0.002489836,0.0001663568,0.07540631,0.2860913,0.001240369,0.005892013,0.0001431968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558089,0.006076057,0.03324002,0.0003300348,0.0001328574,0.0004235734,0.001909634,0.0004953441,0.00158354],"genre_scores_gemma":[0.9490539,0.001149379,0.04551736,0.0004683451,0.000117433,0.0003941176,0.002550833,0.0000355737,0.0007130088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004452206,"threshold_uncertainty_score":0.02354574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07212602253876468,"score_gpt":0.2999164303556409,"score_spread":0.2277904078168762,"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."}}