{"id":"W2092137422","doi":"10.1007/s11524-013-9836-5","title":"Towards the Estimation of Effect Measures in Studies Using Respondent-Driven Sampling","year":2013,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Confidence interval; Statistics; Weighting; Respondent; Population; Sampling (signal processing); Construct (python library); Estimation; Variance (accounting); Econometrics; Demography; Mathematics; Medicine; Computer science; Engineering; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002634597,0.0001128862,0.0006155304,0.0002928291,0.00007163566,0.00001292276,0.0001142921,0.00004550827,0.000009741743],"category_scores_gemma":[0.001877608,0.00006556077,0.00008720774,0.0002708494,0.00006524735,0.0001566789,0.00002893099,0.0003924906,0.000004183499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506174,"about_ca_system_score_gemma":0.0005025606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003896438,"about_ca_topic_score_gemma":0.00004115789,"domain_scores_codex":[0.9978342,0.0004090917,0.0008657723,0.00008964798,0.000581108,0.0002201654],"domain_scores_gemma":[0.9981297,0.0004903954,0.0007382044,0.0001735669,0.000342802,0.0001253731],"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":[0.002371592,0.0006547755,0.3592839,0.003636334,0.0009424163,0.00008739047,0.1501044,0.03756626,0.02680239,0.0001709508,0.01350647,0.4048731],"study_design_scores_gemma":[0.009844137,0.0107738,0.8696607,0.01108247,0.0005210863,0.0009508913,0.0509573,0.03756055,0.005803343,0.001535491,0.0008777674,0.0004324346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892533,0.005655021,0.001042637,0.003308122,0.0002444046,0.0004487862,0.000001305216,0.000006359264,0.00004005164],"genre_scores_gemma":[0.9934409,0.000344393,0.005691604,0.0002675172,0.0002093818,0.000002973212,5.097888e-7,0.0000156076,0.0000270646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5103768,"threshold_uncertainty_score":0.267349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2106970431534912,"score_gpt":0.4563075915362432,"score_spread":0.245610548382752,"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."}}