{"id":"W3005609888","doi":"10.1515/em-2020-0033","title":"Sampling from networks: respondent-driven sampling","year":2021,"lang":"en","type":"preprint","venue":"Epidemiologic Methods","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Toronto Metropolitan University; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University Health Centre; University of Victoria; McGill University","funders":"Public Health Agency; Canadian Blood Services; Canadian Institutes of Health Research; Ministère de la Santé et des Services sociaux; Public Health Agency of Canada; Natural Sciences and Engineering Research Council of Canada; Ontario HIV Treatment Network; Canadian Foundation for AIDS Research","keywords":"Homophily; Sampling (signal processing); Respondent; Computer science; Population; Differential (mechanical device); Sample (material); Social network (sociolinguistics); Econometrics; Statistics; Mathematics; Psychology; Social psychology; Demography; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.06101289,0.0007851028,0.0008838716,0.001468454,0.0009125919,0.001521935,0.003314691,0.001728782,0.004313496],"category_scores_gemma":[0.1494793,0.0007565244,0.001216586,0.002154194,0.001342117,0.001492061,0.002290642,0.002038753,0.001339091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329662,"about_ca_system_score_gemma":0.00225985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600672,"about_ca_topic_score_gemma":0.0037903,"domain_scores_codex":[0.9280053,0.06369033,0.001378905,0.00298324,0.003329983,0.0006122084],"domain_scores_gemma":[0.8778049,0.09037692,0.005518707,0.01841887,0.006855466,0.001025152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002382681,0.001427936,0.1274556,0.001613643,0.001069228,0.001025849,0.004987656,0.2578585,0.002260555,0.3765694,0.02176788,0.2015811],"study_design_scores_gemma":[0.001542962,0.001456017,0.01161112,0.0006711625,0.0002687174,0.000565471,0.00131703,0.6901104,0.003008414,0.2538443,0.03544983,0.0001545533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06114456,0.0003181678,0.9224949,0.0009463942,0.000155214,0.009029843,0.001585769,0.0002904303,0.004034694],"genre_scores_gemma":[0.4384258,0.0003950391,0.5377979,0.0009585138,0.0001151016,0.01668254,0.002531479,0.00007623925,0.003017471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06101289,"threshold_uncertainty_score":0.3226708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3940505545443231,"score_gpt":0.532228469113377,"score_spread":0.1381779145690538,"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."}}