{"id":"W2937044850","doi":"10.1017/ice.2019.65","title":"Changes in vascular accesses and in incidence rates of dialysis-related bloodstream infections in Québec, Canada, 2011–2017","year":2019,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Centre hospitalier universitaire de Québec; Université Laval; Université de Montréal; McGill University Health Centre; Centre Intégré de Santé et de Services Sociaux du Bas-Saint-Laurent","funders":"","keywords":"Poisson regression; Medicine; Incidence (geometry); Dialysis; Rate ratio; Bloodstream infection; Fistula; Cohort; Epidemiology; Catheter; Emergency medicine; Internal medicine; Pediatrics; Surgery; Confidence interval; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362163,0.0001666594,0.0009288909,0.000358834,0.000105003,0.000003179125,0.00006066577,0.0002768442,0.0001336854],"category_scores_gemma":[0.001179549,0.0001460359,0.00006019488,0.0002451212,0.00009525431,0.0001309066,0.00005553943,0.0004746723,0.000008258242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016744,"about_ca_system_score_gemma":0.0003758057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9630942,"about_ca_topic_score_gemma":0.9956774,"domain_scores_codex":[0.9974931,0.0008619583,0.0007977787,0.0003480226,0.00006198297,0.0004370971],"domain_scores_gemma":[0.9966825,0.002623565,0.0003653182,0.0001709661,0.00007162338,0.00008597657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002946323,0.0001212333,0.9965417,0.00008298412,0.0000516759,0.00000311903,0.0006021964,0.0004110333,0.00009932531,0.000141728,0.00009295691,0.001822518],"study_design_scores_gemma":[0.002167168,0.0001978431,0.9942894,0.0001053197,0.00004047967,0.000001614727,0.0002016761,0.001368848,0.00000610058,0.0005130688,0.0009637666,0.0001446991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923033,0.002027485,0.00002179994,0.004378146,0.0003619095,0.0006683849,0.00001402248,0.00001272115,0.0002122456],"genre_scores_gemma":[0.9941989,0.005056076,0.000006897787,0.0005068078,0.00004066406,0.0001244294,0.00001019857,0.000009090402,0.00004692695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03258319,"threshold_uncertainty_score":0.5955169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000033946126942,"score_gpt":0.326844192409055,"score_spread":0.3068438529477856,"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."}}