{"id":"W2540687060","doi":"10.1177/0081175017716489","title":"New Survey Questions and Estimators for Network Clustering with Respondent-driven Sampling Data","year":2017,"lang":"en","type":"article","venue":"Sociological Methodology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Health Statistics; National Institute of Child Health and Human Development; Centers for Disease Control and Prevention","keywords":"Respondent; Estimator; Cluster analysis; Social network (sociolinguistics); Sampling (signal processing); Computer science; Cluster sampling; Clustering coefficient; Homophily; Data science; Survey data collection; Statistics; Econometrics; Data mining; Population; Machine learning; Psychology; Mathematics; Social media; Social psychology; Demography; World Wide Web; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05118935,0.0008359238,0.00111024,0.003454195,0.0006836193,0.001603043,0.00406377,0.002014583,0.003928585],"category_scores_gemma":[0.2130816,0.0009839274,0.001416094,0.004067419,0.00178771,0.003849892,0.002553426,0.002677353,0.0008896214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152622,"about_ca_system_score_gemma":0.001356802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342751,"about_ca_topic_score_gemma":0.002439202,"domain_scores_codex":[0.9588589,0.03457957,0.001245157,0.002411591,0.002599768,0.0003050457],"domain_scores_gemma":[0.8258352,0.1357706,0.009734186,0.01923855,0.008587244,0.000834215],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002001494,0.000394231,0.06623418,0.0007710271,0.0006127515,0.000162816,0.001608988,0.1033787,0.001502151,0.5721914,0.008946612,0.2439969],"study_design_scores_gemma":[0.0001564367,0.0003309032,0.01524411,0.0003263482,0.0001362554,0.0003327566,0.0004619479,0.7149504,0.001612859,0.2472759,0.01905672,0.0001153712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005994809,0.0001061083,0.9922938,0.0001796445,0.00003117671,0.0003478606,0.0003578411,0.0001506866,0.0005380579],"genre_scores_gemma":[0.1038729,0.0002934303,0.8897523,0.0002684107,0.0001189987,0.002813471,0.001822668,0.00007599031,0.0009818607],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9488106,"threshold_uncertainty_score":0.2707184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6924881554704776,"score_gpt":0.5542280557008896,"score_spread":0.138260099769588,"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."}}