{"id":"W2560359438","doi":"10.1109/ichi.2016.70","title":"Combining Particle Filtering and Transmission Modeling for TB Control","year":2016,"lang":"en","type":"article","venue":"","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Particle filter; Transmission (telecommunications); Computer science; Population; Filter (signal processing); Tuberculosis; Control (management); Particle (ecology); Data mining; Kalman filter; Artificial intelligence; Medicine; Environmental health; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001939864,0.0009055514,0.001107516,0.0007990668,0.0005142456,0.001047026,0.0008174053,0.001119804,0.0008509799],"category_scores_gemma":[0.003924599,0.0005131828,0.001273117,0.0007813378,0.0004518541,0.001017313,0.0006596153,0.001216715,0.0001676711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008314205,"about_ca_system_score_gemma":0.001394573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03975498,"about_ca_topic_score_gemma":0.02152665,"domain_scores_codex":[0.9993324,0.0002823453,0.00005458016,0.0001325525,0.0001188256,0.00007942851],"domain_scores_gemma":[0.9984949,0.001121059,0.0001431366,0.00005421354,0.0001564608,0.00003021677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002076707,0.00002111808,0.001219093,0.00002767518,0.00006473431,0.0000285204,0.0000250709,0.9830298,0.000423251,0.003154935,0.0001962054,0.01178882],"study_design_scores_gemma":[0.000002694404,0.000007000819,0.0001913235,0.0000021072,0.000008383408,0.000003553372,0.0000022347,0.9986407,0.00008488553,0.0009167174,0.0001367392,0.000003665812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01955819,0.0003384048,0.9783902,0.0002582825,0.0001037384,0.00003304396,0.00007234072,0.0002019547,0.001043793],"genre_scores_gemma":[0.8154245,0.0009375618,0.1797982,0.0001695794,0.0002271672,0.0001734772,0.0003140563,0.00006523899,0.002890183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03975498,"threshold_uncertainty_score":0.0790472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042269425235021,"score_gpt":0.2833993959256121,"score_spread":0.2529767016732619,"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."}}