{"id":"W1994471959","doi":"10.1016/j.jval.2012.09.006","title":"A Quantitative Benefit-Risk Analysis of Isoniazid for Treatment of Latent Tuberculosis Infection Using Incremental Benefit Framework","year":2013,"lang":"en","type":"article","venue":"Value in Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Centre for Disease Control; Queen's University; University of British Columbia","funders":"","keywords":"Medicine; Latent tuberculosis; Isoniazid; Tuberculosis; Vaccination; Tuberculin; Internal medicine; Demography; Pediatrics; Immunology; Mycobacterium tuberculosis; Pathology","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":[0.01818893,0.001837896,0.00290357,0.002687114,0.0003850135,0.002611215,0.001932737,0.001978656,0.003845359],"category_scores_gemma":[0.04384695,0.0009286374,0.002422377,0.001113699,0.001923476,0.003095057,0.001513126,0.002465598,0.0001472007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039235,"about_ca_system_score_gemma":0.00194251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705415,"about_ca_topic_score_gemma":0.001429747,"domain_scores_codex":[0.9884415,0.009826267,0.0001727254,0.0003658197,0.0007687735,0.0004250132],"domain_scores_gemma":[0.9561237,0.04130648,0.0008155113,0.0007686556,0.0005847513,0.000400846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003916265,0.0007640832,0.008118276,0.001458957,0.002709011,0.0003507512,0.0001981468,0.721314,0.00158442,0.1760193,0.002556031,0.08101078],"study_design_scores_gemma":[0.0006679529,0.001252362,0.004274517,0.0001951332,0.002213802,0.0002643573,0.0001076121,0.7883169,0.0005085571,0.2003891,0.0017218,0.00008795617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2437121,0.01242063,0.7179444,0.008205009,0.0003360021,0.0008647533,0.001096901,0.0003827745,0.01503753],"genre_scores_gemma":[0.9646243,0.001272489,0.031059,0.0004829827,0.0002719074,0.000207692,0.0001756983,0.00004910363,0.001856746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01818893,"threshold_uncertainty_score":0.09619343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068098546229222,"score_gpt":0.4115407652834556,"score_spread":0.3047309106605334,"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."}}