{"id":"W2807406979","doi":"10.1503/cmaj.180488","title":"Better data to drive more effective care for people with latent tuberculosis infection in Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent tuberculosis; Tuberculosis; Medicine; Mycobacterium tuberculosis; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0109572,0.0009155113,0.001685733,0.003751949,0.005609733,0.006470156,0.004988012,0.003379128,0.04777991],"category_scores_gemma":[0.06646083,0.0006487231,0.001964296,0.00574343,0.002141579,0.005926797,0.005898295,0.008075976,0.005105342],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0812043,"about_ca_system_score_gemma":0.3680161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9757932,"about_ca_topic_score_gemma":0.9812747,"domain_scores_codex":[0.9861456,0.003005869,0.001700305,0.0007025804,0.005304245,0.003141353],"domain_scores_gemma":[0.8722212,0.009045421,0.005657692,0.002072961,0.07312012,0.03788263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009636228,0.0001110477,0.02015335,0.002426122,0.0001202497,0.0001054236,0.0004523628,0.0004232682,0.0001436469,0.003874382,0.8982785,0.07381529],"study_design_scores_gemma":[0.00069669,0.0002714064,0.1750904,0.03896687,0.0005688477,0.0003032101,0.006222251,0.002270887,0.0005327539,0.009104537,0.7656429,0.0003291921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008376951,0.04922413,0.002680568,0.83722,0.01118655,0.000670996,0.0472752,0.0008316673,0.04253391],"genre_scores_gemma":[0.2838204,0.1207809,0.04764012,0.4279969,0.01098209,0.00246015,0.07033385,0.0009832387,0.03500235],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9187957,"threshold_uncertainty_score":0.5891812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304462249327103,"score_gpt":0.2956451708876712,"score_spread":0.2826005483944002,"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."}}