{"id":"W2991251146","doi":"","title":"Case 3 : The Missing Four Million: Working to Increase the Case Finding Rate for People with TB","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Psychology","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":[0.002420647,0.000504923,0.0004662601,0.001007621,0.01051916,0.002653957,0.001888611,0.004094046,0.01657511],"category_scores_gemma":[0.01441389,0.0004637979,0.0008061655,0.001082861,0.001534543,0.003404024,0.00413031,0.00771998,0.002497736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297383,"about_ca_system_score_gemma":0.006570113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05742616,"about_ca_topic_score_gemma":0.09247057,"domain_scores_codex":[0.9964293,0.001065115,0.000217731,0.000350462,0.000796721,0.001140742],"domain_scores_gemma":[0.9944464,0.001302149,0.0009906556,0.0004239405,0.001112734,0.001724115],"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":[0.0002593736,0.00106436,0.1637702,0.0006461039,0.00005800102,0.05275566,0.04726956,0.0001701678,0.00157799,0.01023445,0.5620559,0.1601382],"study_design_scores_gemma":[0.0001504746,0.0008436448,0.1198875,0.003065313,0.0001928772,0.2182657,0.1906555,0.002162881,0.002649848,0.01747069,0.4443696,0.0002860079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.378254,0.00422248,0.008099284,0.4639625,0.005718145,0.001764859,0.003017812,0.0008026841,0.1341583],"genre_scores_gemma":[0.7872741,0.006689853,0.0162232,0.1475832,0.00230121,0.0011907,0.001176187,0.0003558812,0.03720577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05742616,"threshold_uncertainty_score":0.1141838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506067819557462,"score_gpt":0.3571920142891984,"score_spread":0.2065852323334522,"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."}}