{"id":"W4396505313","doi":"10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a2347","title":"The Use of an Electronic Order Set to Improve Latent Tuberculosis Screening Among Hospitalized Patients Who Are Initiating Immunosuppression: A Cross-sectional Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Immunosuppression; Tuberculosis; Medicine; Cross-sectional study; Set (abstract data type); Computer science; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003303061,0.0003707955,0.000441393,0.001081204,0.0006123039,0.001196464,0.0007896217,0.001027711,0.001318789],"category_scores_gemma":[0.01568528,0.0005723537,0.001106743,0.001644637,0.000451625,0.001346194,0.0007114039,0.001565646,0.0001498724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009425796,"about_ca_system_score_gemma":0.001481795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105038,"about_ca_topic_score_gemma":0.01439221,"domain_scores_codex":[0.9961156,0.002063976,0.0006215254,0.0002871359,0.0005277622,0.0003841218],"domain_scores_gemma":[0.9774459,0.009880989,0.008723131,0.001211337,0.00145169,0.001286909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002389445,0.0004782401,0.9973295,0.0000198184,0.00009302933,0.00001705525,0.00009653715,0.00004374533,0.00004974166,0.00001567965,0.00007888554,0.001538771],"study_design_scores_gemma":[0.00005473491,0.0009475911,0.9970932,0.00002879383,0.0001640289,0.00007086704,0.0005264955,0.0008406541,0.0001125707,0.00001972032,0.0001330347,0.000008322317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990764,0.0001426049,0.0001110011,0.0000989184,0.000008816323,0.00002800566,0.000245297,0.00000450892,0.0002843946],"genre_scores_gemma":[0.9992704,0.00009112673,0.0002461924,0.00009948619,0.000007796316,0.00002072054,0.00018007,0.000002642166,0.00008175523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105038,"threshold_uncertainty_score":0.02197212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721017754217472,"score_gpt":0.3523750852880413,"score_spread":0.3151649077458666,"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."}}