{"id":"W2551969938","doi":"","title":"COST-EFFECTIVENESS OF CANADA'S TUBERCULOSIS SCREENING AND SURVEILLANCE PROGRAM FOR NEW IMMIGRANTS","year":2016,"lang":"en","type":"article","venue":"38th Annual North American Meeting of the Society for Medical Decision Making","topic":"Diagnosis and treatment of tuberculosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Tuberculosis; Cost effectiveness; Medicine; Geography; Risk analysis (engineering)","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":[0.001547301,0.0007411081,0.0008741207,0.0008818149,0.001714039,0.001773971,0.00147371,0.001474379,0.003881367],"category_scores_gemma":[0.007803666,0.0003457761,0.001898783,0.001108583,0.0007897019,0.0005765579,0.001145608,0.001407737,0.0001536492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05407235,"about_ca_system_score_gemma":0.06694829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707412,"about_ca_topic_score_gemma":0.9815881,"domain_scores_codex":[0.9983334,0.0005579721,0.00007978733,0.0001070876,0.0003502924,0.0005716207],"domain_scores_gemma":[0.995513,0.0009417788,0.0004166724,0.00007700177,0.0007067556,0.002344836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05663713,0.01051867,0.5611379,0.001626976,0.003475641,0.0009983723,0.001025853,0.04678419,0.0007874165,0.004139784,0.03753113,0.275337],"study_design_scores_gemma":[0.008198032,0.009412689,0.9217192,0.001016259,0.00506168,0.0004425998,0.003776815,0.04208751,0.0004708484,0.000960751,0.006675138,0.0001784849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977558,0.005563727,0.0001564451,0.006754087,0.0002517338,0.0002864521,0.002470586,0.00003841161,0.006920652],"genre_scores_gemma":[0.9960316,0.001103614,0.0002474784,0.000701769,0.00004629053,0.00004018356,0.0006684606,0.000004608462,0.00115599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05407235,"threshold_uncertainty_score":0.3923242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625661990844902,"score_gpt":0.3185489999932656,"score_spread":0.3022923800848166,"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."}}