{"id":"W4281726196","doi":"10.3389/fped.2022.896439","title":"Metabolomic Biomarkers to Predict and Diagnose Cystic Fibrosis Pulmonary Exacerbations: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Pediatrics","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Medicine; Sputum; Cystic fibrosis; MEDLINE; Data extraction; Lung transplantation; Population; Metabolomics; Exhaled breath condensate; Intensive care medicine; Internal medicine; Transplantation; Pathology; Bioinformatics; Asthma","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":[0.007863843,0.00184692,0.01072957,0.01138101,0.0006122645,0.00258836,0.002110923,0.002010788,0.004216799],"category_scores_gemma":[0.03117092,0.0008626974,0.008237769,0.01073466,0.0007775671,0.002561514,0.001420408,0.00103583,0.0003797384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003396583,"about_ca_system_score_gemma":0.009115833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006778359,"about_ca_topic_score_gemma":0.01814456,"domain_scores_codex":[0.9940671,0.00171708,0.002297635,0.000545088,0.001162729,0.0002103595],"domain_scores_gemma":[0.9760789,0.01662941,0.004594262,0.0003220816,0.002108945,0.0002662448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002689024,0.00001466202,0.001466276,0.960511,0.01252735,0.00009541182,0.00008587019,0.00008918228,0.0001153873,0.0001057427,0.001082418,0.02363777],"study_design_scores_gemma":[0.0003606119,0.0002300451,0.007943085,0.8606759,0.118368,0.0003838394,0.0001788688,0.0001698889,0.0001655462,0.0002451739,0.01123314,0.00004581331],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001119643,0.9974501,0.000126186,0.0002437097,0.0000691661,0.0003694599,0.0004396358,0.000007730187,0.0001743197],"genre_scores_gemma":[0.01598843,0.9813964,0.000669707,0.000501684,0.000107154,0.0008174243,0.0004025171,0.000004448881,0.0001123355],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01138101,"threshold_uncertainty_score":0.04158849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081028792971571,"score_gpt":0.3178582086534039,"score_spread":0.2970479207236881,"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."}}