{"id":"W4366692377","doi":"10.1177/00811750231163832","title":"Evaluation of Respondent-Driven Sampling Prevalence Estimators Using Real-World Reported Network Degree","year":2023,"lang":"en","type":"article","venue":"Sociological Methodology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; York University; Public Health Ontario; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Estimator; Statistics; Respondent; Categorical variable; Econometrics; Homophily; Trait; Degree distribution; Population; Sampling (signal processing); Sample (material); Demography; Mathematics; Computer science; Complex network","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02444477,0.0002436438,0.000952361,0.000270308,0.0001596856,0.000005640522,0.0002186168,0.0004948138,0.0003716145],"category_scores_gemma":[0.03485346,0.0001972788,0.0001930575,0.001144021,0.000560687,0.0000531269,0.0002142456,0.0005718775,0.00004896558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871371,"about_ca_system_score_gemma":0.0003989247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008094635,"about_ca_topic_score_gemma":0.00002558964,"domain_scores_codex":[0.9892448,0.007591703,0.0009918278,0.0006897713,0.0008258604,0.0006560953],"domain_scores_gemma":[0.9902853,0.0076897,0.0005982348,0.0005986025,0.000655833,0.0001723242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001508375,0.0002373444,0.6900206,0.0004904628,0.0009762071,0.0002728913,0.006166358,0.08589189,0.1375112,0.00409126,0.001100151,0.07173323],"study_design_scores_gemma":[0.001536366,0.0006908581,0.8614272,0.0002794167,0.001932705,0.0001078303,0.0026038,0.06343642,0.0009198589,0.06663544,0.00008578616,0.0003443271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816206,0.0002848873,0.01456647,0.0002960025,0.000580139,0.0008011325,0.000009117701,0.0003072261,0.001534469],"genre_scores_gemma":[0.700672,0.0001905973,0.2981204,0.0001291807,0.0004415239,0.00005705391,0.00004789809,0.00003606931,0.0003052264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283554,"threshold_uncertainty_score":0.9732764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8037163736172741,"score_gpt":0.5819102250622058,"score_spread":0.2218061485550683,"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."}}