{"id":"W2800580290","doi":"10.1111/hdi.12661","title":"Development of a risk‐prediction model for Middle East respiratory syndrome coronavirus infection in dialysis patients","year":2018,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of National Guard Health Affairs","keywords":"Medicine; Middle East respiratory syndrome; Middle East respiratory syndrome coronavirus; Hemodialysis; Coronavirus disease 2019 (COVID-19); Dialysis; Intensive care medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Internal medicine; Respiratory system; Virology; Outbreak; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003862162,0.00101401,0.001109316,0.00189941,0.000508913,0.001590505,0.001075581,0.0009261341,0.001898756],"category_scores_gemma":[0.00599169,0.0004226402,0.001450232,0.0005589465,0.000206711,0.0005603432,0.000818759,0.001160392,0.000416563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009505457,"about_ca_system_score_gemma":0.001570366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112054,"about_ca_topic_score_gemma":0.0052922,"domain_scores_codex":[0.9992287,0.0003508107,0.00007060101,0.0001640102,0.00008773125,0.0000980701],"domain_scores_gemma":[0.9972008,0.001900132,0.0002306238,0.00006376912,0.0004451702,0.0001594693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001018367,0.0008305262,0.6165803,0.0001290942,0.0009643217,0.0006067745,0.0003120123,0.2962706,0.0009150669,0.001105514,0.004481483,0.076786],"study_design_scores_gemma":[0.00003329089,0.0001561838,0.01713514,0.00003652382,0.0001250592,0.0001079807,0.00007038103,0.9809039,0.0001913465,0.0008455745,0.0003769225,0.00001775089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8537086,0.0008826024,0.1380975,0.001782661,0.0001787854,0.0004288163,0.001962711,0.0007997115,0.002158521],"genre_scores_gemma":[0.9770497,0.000185793,0.02018286,0.00009959135,0.00005293308,0.0002817642,0.001405685,0.00001748175,0.0007241764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112054,"threshold_uncertainty_score":0.02228034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217005663833134,"score_gpt":0.3958279979954594,"score_spread":0.274127431612146,"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."}}