{"id":"W2740540698","doi":"10.1017/s0950268817001558","title":"Negative latent tuberculosis at time of incarceration: identifying a very high-risk group for infection","year":2017,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"Universidad de Antioquia; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Medicine; Latent tuberculosis; Tuberculin; Prison; Tuberculosis; Incidence (geometry); Active tuberculosis; Environmental health; Internal medicine; Mycobacterium tuberculosis; Pathology; Psychology","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":[0.0005794402,0.0004513076,0.0004140516,0.001413975,0.0005548217,0.0006168957,0.0004130741,0.0005266276,0.000998655],"category_scores_gemma":[0.002483491,0.0002376666,0.0002593303,0.0005830292,0.0003880456,0.0005041927,0.0006750938,0.000499721,0.0002163158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321433,"about_ca_system_score_gemma":0.0002901111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804157,"about_ca_topic_score_gemma":0.003912952,"domain_scores_codex":[0.9995247,0.000184366,0.00005076389,0.00007991202,0.00005390241,0.0001063863],"domain_scores_gemma":[0.9984034,0.0002805161,0.0007054589,0.00007084791,0.0001540372,0.0003858407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001015635,0.00003576792,0.9970781,0.00001129583,0.000008874484,0.0002440735,0.0001471412,0.000030332,0.000578563,0.00001381577,0.0000372144,0.001713257],"study_design_scores_gemma":[0.000002800988,0.0001467763,0.9981415,0.00001234225,0.00001213597,0.000794674,0.0002590686,0.0003106754,0.0002029593,0.00003157089,0.00007987255,0.000005668737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993414,0.0001324883,0.0001848669,0.00002404586,0.000005032492,0.00001271652,0.00004420709,0.000004169405,0.0002510234],"genre_scores_gemma":[0.9995487,0.0000484453,0.0002427107,0.000008838614,0.000005819363,0.00000856359,0.00004972742,0.000001097037,0.00008600653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804157,"threshold_uncertainty_score":0.005575657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564042729333336,"score_gpt":0.3614717417652143,"score_spread":0.3058313144718809,"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."}}