{"id":"W2987881408","doi":"10.1016/j.jcf.2019.10.006","title":"Antimicrobial resistance in cystic fibrosis: A Delphi approach to defining best practices","year":2019,"lang":"en","type":"article","venue":"Journal of Cystic Fibrosis","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; Cystic Fibrosis in Australia; National Institute for Health and Care Research; Cystic Fibrosis Canada; South Carolina Clinical and Translational Research Institute, Medical University of South Carolina; University of South Carolina; Medical University of South Carolina; Cystic Fibrosis Trust; Cystic Fibrosis Foundation","keywords":"Medicine; Cystic fibrosis; Delphi method; Intensive care medicine; Family medicine; MEDLINE; Pediatrics; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00158344,0.0004092538,0.001208893,0.0009851886,0.0001007492,0.000187123,0.0005503891,0.0001976807,0.0001242917],"category_scores_gemma":[0.006845118,0.0003510361,0.000303229,0.001357392,0.0001264272,0.0007815671,0.0001710723,0.0009630013,0.0003366351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867394,"about_ca_system_score_gemma":0.0007034886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000979191,"about_ca_topic_score_gemma":0.0000554148,"domain_scores_codex":[0.9953746,0.0002592281,0.001494809,0.000570725,0.001420246,0.0008804005],"domain_scores_gemma":[0.9952365,0.001540791,0.001382458,0.0006153479,0.0006466004,0.0005782861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04528994,0.004075007,0.07079916,0.009594566,0.0006833755,0.000925567,0.005457824,0.006539033,0.8186373,0.001236141,0.03019587,0.006566242],"study_design_scores_gemma":[0.05753313,0.02898797,0.3270743,0.08787046,0.00374176,0.0131029,0.01652743,0.006588439,0.05020995,0.002664114,0.3996069,0.006092578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769294,0.007128551,0.004163468,0.001725933,0.0006146549,0.001233985,0.00007442568,0.00004409254,0.008085503],"genre_scores_gemma":[0.6969309,0.00008965225,0.3015808,0.0002208707,0.0002313246,0.00002944331,0.00001185653,0.00006286642,0.0008423278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7684273,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724817651100649,"score_gpt":0.3234524501437458,"score_spread":0.2962042736327393,"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."}}