{"id":"W2082120092","doi":"10.1007/s003620100067","title":"Estimation of mean and variance of stigmatized quantitative variable using distinct units in randomized response sampling","year":2001,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Randomized response; Statistics; Variance (accounting); Estimation; Econometrics; Mathematics; Estimator; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004278126,0.000139934,0.0007154565,0.0001588796,0.00005144324,0.00001373653,0.00007003891,0.00007733663,0.00006728538],"category_scores_gemma":[0.04138651,0.0001255115,0.00002781186,0.0004094348,0.0002629376,0.00007640243,0.00002689856,0.0001170105,4.774669e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004156592,"about_ca_system_score_gemma":0.00009444512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005248385,"about_ca_topic_score_gemma":0.00004771463,"domain_scores_codex":[0.9977044,0.0009512446,0.0007702995,0.0001870706,0.0002195705,0.0001673506],"domain_scores_gemma":[0.9765627,0.02275331,0.0003147851,0.0001561525,0.000159151,0.00005390319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.08459952,0.0002648484,0.0007994733,0.0009833588,0.00015309,0.00001161249,0.005087715,0.00965941,0.0132123,0.8751481,0.00002337769,0.01005722],"study_design_scores_gemma":[0.01923822,0.0001217968,0.002843972,0.0008104193,0.000125177,0.000009854592,0.0005065925,0.5705558,0.0006099406,0.4049296,0.000006709961,0.0002419057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3125867,0.00002598128,0.6866655,0.00001302286,0.00002091271,0.0002663379,0.00007506611,0.00003373142,0.0003127641],"genre_scores_gemma":[0.5422368,0.000007698317,0.4577118,0.000003663147,0.00000184743,0.00000884001,0.0000115365,0.000009850409,0.000007905186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5608964,"threshold_uncertainty_score":0.9666883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369129514011977,"score_gpt":0.4008226602947708,"score_spread":0.2639097088935731,"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."}}