{"id":"W2100098158","doi":"10.4236/aa.2013.31001","title":"Assessing Respondent Driven Sampling for Network Studies in Ethnographic Contexts","year":2013,"lang":"en","type":"article","venue":"Advances in Anthropology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Office of Polar Programs; John Jay College of Criminal Justice; City University of New York; National Science Foundation","keywords":"Respondent; Representativeness heuristic; Sample (material); Sampling (signal processing); Census; Sociology; Sampling frame; Social network (sociolinguistics); Ethnography; Sociometry; Geography; Psychology; Social psychology; Demography; Political science; Computer science; Social media; Population; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004562214,0.0002026736,0.0006699082,0.000325999,0.0001364655,0.00001605918,0.0001342912,0.0001558714,0.00008331822],"category_scores_gemma":[0.0008602209,0.0001781437,0.00006305458,0.000510094,0.001368043,0.0004785658,0.00008426466,0.0003521217,0.0000210993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130883,"about_ca_system_score_gemma":0.00005761137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139405,"about_ca_topic_score_gemma":0.003009978,"domain_scores_codex":[0.9980778,0.0001682577,0.0005443161,0.0004308286,0.0001372193,0.0006416409],"domain_scores_gemma":[0.9979753,0.001382185,0.0001527495,0.0002752341,0.0001407501,0.00007377075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000643129,0.0005303726,0.655859,0.0006751768,0.000187974,0.0001914962,0.02083728,0.00453535,0.00371299,0.005762719,0.001444583,0.30562],"study_design_scores_gemma":[0.01577655,0.003713682,0.1543823,0.004254778,0.000200729,0.0002057789,0.6577354,0.004729275,0.001790064,0.09544205,0.06022571,0.001543634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405805,0.04826435,0.004453719,0.002666252,0.001858582,0.001233455,0.000002506858,0.00007952676,0.0008610704],"genre_scores_gemma":[0.9746686,0.009080053,0.01499465,0.0005739446,0.0002852037,0.0002560036,0.00001060573,0.00003268577,0.00009830145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6368981,"threshold_uncertainty_score":0.726449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607603486450645,"score_gpt":0.5203507984961921,"score_spread":0.3595904498511276,"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."}}