{"id":"W2957954880","doi":"10.17269/s41997-019-00240-1","title":"Latent tuberculosis treatment completion rates from prescription drug administrative data","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"First Nations Health and Social Secretariat of Manitoba; University of British Columbia; BC Centre for Disease Control; University of Manitoba; Manitoba Health; Winnipeg Regional Health Authority","funders":"Manitoba Centre for Health Policy, University of Manitoba","keywords":"Medical prescription; Tuberculosis; Drug; Latent tuberculosis; Medicine; Pharmacology; Mycobacterium tuberculosis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005104269,0.0002646367,0.000604997,0.002343132,0.000360378,0.001239791,0.000856675,0.0005505962,0.005153576],"category_scores_gemma":[0.03722206,0.0003626236,0.00142416,0.003006985,0.00024347,0.0008609516,0.0007375024,0.001037592,0.001266535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108039,"about_ca_system_score_gemma":0.002164512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09986252,"about_ca_topic_score_gemma":0.07527356,"domain_scores_codex":[0.9952568,0.00173467,0.000716648,0.0006254352,0.001131467,0.0005349516],"domain_scores_gemma":[0.9710485,0.014537,0.007618147,0.002999596,0.002846296,0.0009505738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000629521,0.0001004576,0.9815166,0.0001894472,0.0004594027,0.00003968999,0.0001784256,0.001539419,0.0001842435,0.0002876733,0.006527487,0.008347685],"study_design_scores_gemma":[0.00006099888,0.00007669573,0.9923208,0.00004844299,0.0001370736,0.00009257502,0.0001465997,0.004161675,0.0002061056,0.0001354578,0.002593761,0.00001978426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8182638,0.0006453209,0.001676887,0.0004550531,0.00002323792,0.00007687491,0.1758341,0.0001852616,0.002839519],"genre_scores_gemma":[0.9323499,0.0001941848,0.0006119069,0.00008042685,0.00002435183,0.00006377499,0.06558567,0.0000365128,0.00105327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09986252,"threshold_uncertainty_score":0.1985625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2415608720883229,"score_gpt":0.4088054580555259,"score_spread":0.167244585967203,"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."}}