{"id":"W2183883180","doi":"","title":"Sparse and efficient replication variance estimation for complex surveys","year":2013,"lang":"en","type":"article","venue":"Iowa State University Digital Repository (Iowa State University)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Conservation Service; Mitacs; U.S. Department of Agriculture; Simon Fraser University; Iowa State University","keywords":"Replication (statistics); Estimator; Variance (accounting); Resampling; Sampling (signal processing); Computer science; Statistics; Sampling design; Population; Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002272218,0.0002056221,0.0002576528,0.0003538239,0.001353709,0.0002181796,0.0003927404,0.0001325781,0.00002832197],"category_scores_gemma":[0.0011886,0.0002609907,0.0001027958,0.000602428,0.0007442654,0.001263797,0.0001474728,0.0001450998,0.00003540852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004253954,"about_ca_system_score_gemma":0.0002893342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002425381,"about_ca_topic_score_gemma":0.0004462092,"domain_scores_codex":[0.995314,0.003121314,0.0001975825,0.000645032,0.0002613064,0.0004607348],"domain_scores_gemma":[0.9954152,0.0031329,0.0002549236,0.0003887594,0.0004874173,0.0003208408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03029441,0.003498912,0.2256847,0.0006580606,0.00207536,0.002270768,0.1064726,0.03513213,0.02831281,0.06770352,0.02747907,0.4704176],"study_design_scores_gemma":[0.004237738,0.0005481956,0.7281205,0.00008790744,0.000174568,0.00002926147,0.0213359,0.01420765,0.001243811,0.003442883,0.2249763,0.001595333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248524,0.00001295365,0.1556314,0.0002694091,0.000245649,0.0008464617,0.0001923196,0.0001998669,0.01774949],"genre_scores_gemma":[0.9392901,0.0000553347,0.004339236,0.00003631838,0.00002868519,9.421514e-7,0.00007467816,0.00001739028,0.0561573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024358,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08718094894452748,"score_gpt":0.3047927454884328,"score_spread":0.2176117965439053,"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."}}