{"id":"W4243199110","doi":"10.1007/bf03404391","title":"Sustained Intra- and Inter-jurisdictional Transmission of Tuberculosis within a Mobile, Multi-ethnic Social Network: Lessons for Tuberculosis Elimination","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"Health Canada","keywords":"Tuberculosis; Transmission (telecommunications); Demography; Ethnic group; Medicine; Residence; Population; Context (archaeology); Public health; Geography; Environmental health; Pathology; Political science; Sociology","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":[0.002706816,0.0002067563,0.0003521296,0.0004892251,0.00332062,0.003012923,0.001560011,0.001850405,0.00343483],"category_scores_gemma":[0.01176098,0.0002736804,0.0002702979,0.0005660253,0.002779781,0.00513501,0.003630173,0.002048921,0.0002636322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538951,"about_ca_system_score_gemma":0.007573954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05255644,"about_ca_topic_score_gemma":0.1031017,"domain_scores_codex":[0.9983771,0.0007900685,0.00003455442,0.000137046,0.0001030228,0.0005581967],"domain_scores_gemma":[0.9939758,0.001803867,0.00083562,0.0004543755,0.0006782318,0.002252137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004572716,0.0008415293,0.5772336,0.0004371871,0.0002655589,0.003417847,0.07840826,0.002236268,0.002017361,0.07511602,0.02938785,0.2301812],"study_design_scores_gemma":[0.0001846681,0.0007711329,0.5407736,0.0007505241,0.0002158225,0.001897361,0.2507436,0.00775781,0.0006621709,0.1586374,0.0374939,0.0001121552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8301089,0.001858676,0.004603837,0.1470075,0.0002852936,0.00007643193,0.0002104473,0.00005217815,0.0157967],"genre_scores_gemma":[0.9969086,0.0005305785,0.0005136308,0.001286064,0.000114317,0.0000253406,0.00003299988,0.000004947832,0.000583535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9474435,"threshold_uncertainty_score":0.1045011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06895299387650547,"score_gpt":0.3829291638623132,"score_spread":0.3139761699858077,"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."}}