{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202909,0.0002267302,0.0007491371,0.00003415759,0.0002192287,0.00001256039,0.0002450384,0.00007337018,0.0000068032],"category_scores_gemma":[0.005359908,0.0001258181,0.0007952924,0.0003784771,0.0004723254,0.00005207257,0.0001345763,0.0001032464,8.849019e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009646673,"about_ca_system_score_gemma":0.0006223022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01702417,"about_ca_topic_score_gemma":0.02837412,"domain_scores_codex":[0.9975443,0.00008026865,0.00054761,0.000397996,0.0009772409,0.0004525676],"domain_scores_gemma":[0.99247,0.00609685,0.0004421551,0.0003014574,0.000363902,0.0003256153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005076381,0.0001196345,0.3822132,0.0002110365,0.0003505173,9.934847e-7,0.0000848753,0.00001372694,0.00003146898,0.00000741709,0.003206606,0.6132529],"study_design_scores_gemma":[0.004351398,0.001025775,0.983161,0.004037298,0.0003071235,0.00001291951,0.0004607877,0.000697493,0.0006296057,0.00008565795,0.0050004,0.0002305683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851286,0.0005188445,0.008809221,0.002973197,0.0001500556,0.002033261,0.0003352851,0.00003034075,0.00002123088],"genre_scores_gemma":[0.9651503,0.0001584217,0.03394401,0.0004260209,0.00008741499,0.0001708708,0.0000107882,0.00003374258,0.00001840672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6130223,"threshold_uncertainty_score":0.9895216,"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."}}