{"id":"W2902707719","doi":"10.1093/ofid/ofy210.787","title":"780. Incidence and Prevalence of Nontuberculous Mycobacterial Lung Disease in US Medicare, 2008–2015","year":2018,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Incidence (geometry); Poisson regression; Confidence interval; Demography; Nontuberculous mycobacteria; Epidemiology; Tuberculosis; Pediatrics; Internal medicine; Population; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000269517,0.000231874,0.0004598203,0.0002099867,0.0001315838,0.0001112001,0.0003142041,0.00008437725,0.001662215],"category_scores_gemma":[0.001851393,0.0002021352,0.00008909947,0.0003580716,0.0004717572,0.0005382288,0.0006145478,0.0001476539,0.00004390137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123323,"about_ca_system_score_gemma":0.0006196416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002742453,"about_ca_topic_score_gemma":0.0008210776,"domain_scores_codex":[0.9979258,0.0001377218,0.0004056683,0.0005009655,0.000489553,0.0005402936],"domain_scores_gemma":[0.997879,0.0002111822,0.0001308636,0.0005291389,0.000281043,0.0009688016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001364645,0.0005681213,0.9865065,0.0006918331,0.00005126001,0.0001347488,0.0000742925,7.400955e-7,0.0003527123,0.0001210251,0.008378953,0.001755142],"study_design_scores_gemma":[0.002608667,0.0007920477,0.9935012,0.0007657816,0.0001995384,0.0000324517,0.00002611755,0.0002366543,0.0003003894,0.0003729677,0.0009517146,0.0002123992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917974,0.001757875,0.00001312004,0.0005686838,0.0002738102,0.001343824,0.0003526695,0.00004709365,0.00384546],"genre_scores_gemma":[0.9974281,0.001297608,0.00003038144,0.0005240579,0.0002237001,0.0002280577,0.0000583147,0.00002832492,0.0001814765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007427238,"threshold_uncertainty_score":0.9992504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008835131413658725,"score_gpt":0.3126313329285492,"score_spread":0.3037962015148905,"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."}}