{"id":"W1979743121","doi":"10.2202/1948-4690.1011","title":"Using HIV Diagnostic Data to Estimate HIV Incidence: Method and Simulation","year":2011,"lang":"en","type":"article","venue":"Statistical Communications in Infectious Diseases","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Human immunodeficiency virus (HIV); Incidence (geometry); Distribution (mathematics); Virology; Medicine; Immunology; Biology; Statistics; Mathematics","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":[0.009515054,0.0006846449,0.001149923,0.001850834,0.0005332248,0.001410149,0.002554492,0.00168227,0.002303902],"category_scores_gemma":[0.02988071,0.0007139426,0.0009118471,0.00197146,0.00104585,0.001970519,0.001553628,0.001875468,0.0004036451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330413,"about_ca_system_score_gemma":0.001488771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076231,"about_ca_topic_score_gemma":0.006577069,"domain_scores_codex":[0.9968907,0.002234119,0.00009901312,0.0002258426,0.0004608318,0.00008949416],"domain_scores_gemma":[0.977126,0.02004574,0.0007401427,0.0009391404,0.000925881,0.0002231362],"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":[0.0001667144,0.0001054609,0.009103497,0.0001079241,0.0001085394,0.000130931,0.0001367703,0.8770489,0.0004434736,0.05679562,0.001499301,0.05435296],"study_design_scores_gemma":[0.00003590238,0.00001501583,0.0002440493,0.00001907487,0.0000101285,0.00004344996,0.00001073594,0.9800524,0.0001829643,0.01874669,0.0006193187,0.00002030908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01553905,0.00029943,0.9821861,0.000488128,0.00005543432,0.000155333,0.0001534202,0.0001828592,0.0009402097],"genre_scores_gemma":[0.3100186,0.001026588,0.6851877,0.0002351319,0.0001467797,0.001033022,0.0005149057,0.0001200161,0.001717302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01076231,"threshold_uncertainty_score":0.05032098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.151540800774634,"score_gpt":0.4562201761001769,"score_spread":0.3046793753255429,"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."}}