{"id":"W2980443431","doi":"10.1200/jco.2019.37.27_suppl.264","title":"Increasing screening for latent tuberculosis in patients with hematologic malignancy: A quality improvement project.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Checklist; Tuberculosis; Contact tracing; Population; Latent tuberculosis; Intensive care medicine; Emergency medicine; Internal medicine; Disease; Environmental health; Mycobacterium tuberculosis","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":[0.02835313,0.0003664311,0.0003917076,0.002200755,0.00181624,0.002266608,0.001563902,0.0005608692,0.002575068],"category_scores_gemma":[0.04258926,0.0005885274,0.0009254991,0.003285547,0.0008947648,0.001885738,0.00531551,0.001752659,0.0004814746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005043962,"about_ca_system_score_gemma":0.02800252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664595,"about_ca_topic_score_gemma":0.01652298,"domain_scores_codex":[0.9853865,0.007281994,0.002126262,0.0009120859,0.00299447,0.001298724],"domain_scores_gemma":[0.9438321,0.007512916,0.01835819,0.003136492,0.01093836,0.01622203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005405216,0.002938122,0.7809114,0.001032043,0.0001555875,0.0001805344,0.002913552,0.0007430325,0.0007829986,0.0003036694,0.009205035,0.2002934],"study_design_scores_gemma":[0.000609835,0.005116022,0.9757249,0.0007717485,0.0001488542,0.0002377012,0.004391118,0.001996163,0.0006784095,0.0001964332,0.01009367,0.00003515605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935585,0.003105634,0.008452455,0.01998097,0.00031774,0.01648443,0.004492208,0.0008200795,0.0107615],"genre_scores_gemma":[0.9427441,0.002079883,0.04116723,0.003330535,0.0001429676,0.004942184,0.004225817,0.00006235699,0.001304889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02835313,"threshold_uncertainty_score":0.1499475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166585758342447,"score_gpt":0.4939567761032628,"score_spread":0.3273710177608158,"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."}}