{"id":"W6961127969","doi":"10.1371/journal.pone.0216271.t001","title":"Characteristics of persons born outside Canada in high-incidence (≥30 per 100,000) and medium-to-low incidence (&lt;30 per 100,000) tuberculosis countries according time to diagnosis after arrival category&lt;sup&gt;*&lt;/sup&gt;, British Columbia, Canada (2005–2014).","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Tuberculosis; Arrival time; Developed country; Epidemiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005612086,0.0008922104,0.001666552,0.002747079,0.001526256,0.001642102,0.002321074,0.001204083,0.05740159],"category_scores_gemma":[0.00712692,0.0005643387,0.00101329,0.009924009,0.0003475336,0.0006443393,0.0009549023,0.001236435,0.01832615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005527676,"about_ca_system_score_gemma":0.015288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8419025,"about_ca_topic_score_gemma":0.9055915,"domain_scores_codex":[0.9993812,0.00004714488,0.00009615123,0.0001752928,0.0001397908,0.0001604364],"domain_scores_gemma":[0.996249,0.0007479966,0.000388378,0.0003580372,0.00187854,0.0003780373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008455143,0.000009189238,0.005373263,0.001026143,0.00006997464,0.00002309558,0.00003100803,0.0002007544,0.00003231147,0.0003417404,0.990869,0.001938791],"study_design_scores_gemma":[0.0006491959,0.00001666736,0.1068554,0.003003501,0.0003049198,0.0001315092,0.0003750171,0.0005172475,0.0002550532,0.001172152,0.8866288,0.00009057055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001375859,0.00007526841,0.00001475044,0.00003840615,0.000008578876,0.000004687549,0.9992456,0.00002378562,0.0004512912],"genre_scores_gemma":[0.002525363,0.0002193173,0.0001731396,0.00009276087,0.000009362361,0.00007789259,0.9953386,0.00003359631,0.001529955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1580975,"threshold_uncertainty_score":0.3180571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006807538451813146,"score_gpt":0.1970005119880547,"score_spread":0.1901929735362416,"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."}}