{"id":"W1492264985","doi":"10.1177/1536867x1201200106","title":"Respondent Driven Sampling","year":2010,"lang":"en","type":"preprint","venue":"The Stata Journal Promoting communications on statistics and Stata","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snowball sampling; Sampling (signal processing); Respondent; Markov chain; Population; Markov chain Monte Carlo; Statistics; Sampling design; Computer science; Psychology; Econometrics; Demography; Mathematics; Sociology; Monte Carlo method; Telecommunications; Political science","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":[0.05099892,0.001169584,0.001815584,0.002719884,0.001837848,0.002176014,0.004701406,0.002226547,0.06167131],"category_scores_gemma":[0.118057,0.001580975,0.001990443,0.002936538,0.001637366,0.001125692,0.003829845,0.00265231,0.02828988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044012,"about_ca_system_score_gemma":0.003619289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067373,"about_ca_topic_score_gemma":0.003656327,"domain_scores_codex":[0.9371036,0.05018324,0.002044792,0.004421123,0.004860451,0.001386918],"domain_scores_gemma":[0.9499177,0.02452458,0.001142959,0.01903464,0.004733479,0.0006466533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003373174,0.001856645,0.02958988,0.002473979,0.0006819238,0.0006171452,0.006021209,0.01335124,0.004222282,0.3765025,0.114483,0.4468269],"study_design_scores_gemma":[0.003538222,0.004058762,0.01936481,0.001185399,0.000826915,0.002553826,0.002620416,0.1852178,0.01624015,0.31686,0.4472958,0.0002379714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02142334,0.0003623506,0.9102761,0.0005516069,0.0006957559,0.0412302,0.007407958,0.001273606,0.01677913],"genre_scores_gemma":[0.1454388,0.0005623075,0.7069285,0.002386222,0.0003442932,0.07567253,0.009304548,0.0005118238,0.05885094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06167131,"threshold_uncertainty_score":0.2697113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608193926967826,"score_gpt":0.4394965898380185,"score_spread":0.2786771971412359,"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."}}