{"id":"W4319845000","doi":"10.1002/9781119672333.ch27","title":"Introduction to Sampling and Estimation for Business Surveys","year":2023,"lang":"en","type":"other","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Sampling (signal processing); Variance (accounting); Stratified sampling; Sample (material); Sampling design; Estimation; Statistics; Computer science; Econometrics; Sample size determination; Survey sampling; Unbiased Estimation; Sampling bias; Data mining; Mathematics; Engineering; Population; Accounting; Estimator","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":[],"consensus_categories":[],"category_scores_codex":[0.0003263377,0.00007893797,0.00009869035,0.00003601786,0.00006116185,0.00001806972,0.00003802871,0.00005557335,0.0006631208],"category_scores_gemma":[0.00007737304,0.00006073727,0.00001057335,0.000115652,0.00004261268,0.00002146515,0.0000876413,0.00002085267,0.0003710809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002557823,"about_ca_system_score_gemma":7.428539e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841413,"about_ca_topic_score_gemma":0.00489119,"domain_scores_codex":[0.9995205,0.00002366465,0.00006946139,0.0002173587,0.00007462632,0.00009436794],"domain_scores_gemma":[0.9998331,0.00003353101,0.00002759949,0.00008014522,0.0000029097,0.00002272936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003362139,0.00001058043,0.0009980113,0.00008737075,0.00001960838,1.080091e-7,0.0002704708,0.002294876,0.00005907395,0.00004448706,0.9492353,0.04697677],"study_design_scores_gemma":[0.00006764442,0.00001406651,0.03155543,0.00002392191,0.0000105952,4.771902e-7,0.00004279154,0.0001815478,0.00002356854,0.0001624323,0.9677767,0.0001408907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002379021,0.0001067428,0.7804137,0.01764001,0.002107594,0.002051638,0.0001036345,0.001516003,0.1936816],"genre_scores_gemma":[0.0001944797,0.00004120111,0.01400414,0.00005621727,0.0006888101,0.0000434341,0.00002559612,0.0001753261,0.9847708],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7910892,"threshold_uncertainty_score":0.7260708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0696793934808756,"score_gpt":0.2789396490294049,"score_spread":0.2092602555485293,"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."}}