{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002880178,0.0004578268,0.0006742134,0.0003027176,0.001622013,0.0006332314,0.002133585,0.0002441399,0.00008290919],"category_scores_gemma":[0.002776262,0.0003349179,0.0001014665,0.0001765471,0.0006318624,0.00008125675,0.00311325,0.007323102,0.00003906292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422965,"about_ca_system_score_gemma":0.0007376825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001035066,"about_ca_topic_score_gemma":0.0001804593,"domain_scores_codex":[0.9963537,0.0007476635,0.001123264,0.0004705538,0.0007870792,0.0005177216],"domain_scores_gemma":[0.9907259,0.002629424,0.001036506,0.004475637,0.0006961462,0.0004363714],"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":[0.001595193,0.003053173,0.003008222,0.001732934,0.003103298,0.0004531717,0.1264405,0.0008413168,0.004274883,0.07992879,0.03705204,0.7385165],"study_design_scores_gemma":[0.009151421,0.004518356,0.02566921,0.01072908,0.006130939,0.005188991,0.05319082,0.2952271,0.0003667039,0.3458898,0.2398447,0.004092894],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4717604,0.01032926,0.3967344,0.06956417,0.002888726,0.007161187,0.03054708,0.0005450895,0.01046968],"genre_scores_gemma":[0.6398749,0.01289253,0.3435747,0.0005910533,0.0003822734,0.00005519465,0.001652544,0.0001757058,0.0008010709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7344236,"threshold_uncertainty_score":0.9999103,"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."}}