{"id":"W2899188568","doi":"10.2196/10906","title":"Population Size Estimation of Venue-Based Female Sex Workers in Ho Chi Minh City, Vietnam: Capture-Recapture Exercise","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Census and Population Estimation","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Ho chi minh; Estimation; Mark and recapture; Population; Confidence interval; Demography; Statistics; Population size; Sample size determination; Geography; Stratified sampling; Sampling (signal processing); Medicine; Mathematics; Cartography; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005268819,0.0003212117,0.0003513664,0.001137652,0.0004261175,0.0004358192,0.001129882,0.0003504434,0.001594291],"category_scores_gemma":[0.008889465,0.0003222905,0.0007737306,0.0007843792,0.0002762722,0.0003401599,0.0006038449,0.0003948061,0.0002052212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171227,"about_ca_system_score_gemma":0.0009932852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06283814,"about_ca_topic_score_gemma":0.06574412,"domain_scores_codex":[0.9985576,0.0007135384,0.0001036894,0.0003516765,0.0001827112,0.00009077734],"domain_scores_gemma":[0.9968086,0.001681527,0.0006357175,0.0003221218,0.0004631113,0.00008897705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008719516,0.00009006631,0.9319096,0.0001621609,0.0003124888,0.0003736817,0.001749427,0.02553632,0.0009425218,0.0009390438,0.001570837,0.0363267],"study_design_scores_gemma":[0.00003507718,0.000346948,0.8868974,0.000260651,0.0001689283,0.0005348502,0.003632655,0.1009091,0.001365079,0.001278103,0.004513881,0.00005730024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270874,0.000474481,0.06352875,0.0002898683,0.00003650019,0.0009752426,0.004699639,0.00009066016,0.002817424],"genre_scores_gemma":[0.9481131,0.0002611771,0.04504332,0.00009747264,0.00001427799,0.0008962469,0.00386629,0.0000160777,0.00169212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06283814,"threshold_uncertainty_score":0.1249447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341576233566904,"score_gpt":0.3408552921560632,"score_spread":0.2974395298203941,"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."}}