{"id":"W2977170828","doi":"10.21083/surg.v1i2.407","title":"A comparison of variance estimators with known and unknown population means","year":2008,"lang":"en","type":"article","venue":"SURG Journal","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Estimator; Statistics; Variance (accounting); Population mean; Mathematics; Population variance; Population; Sample mean and sample covariance; Exponential function; Distribution (mathematics); Standard error; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0399496,0.0005443069,0.001045179,0.002570064,0.0005134174,0.001711761,0.001403256,0.001682674,0.001085919],"category_scores_gemma":[0.1995754,0.0003712412,0.0008793096,0.001717908,0.001277004,0.00351635,0.00157006,0.001007971,0.0002885121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030009,"about_ca_system_score_gemma":0.001056433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073912,"about_ca_topic_score_gemma":0.001148577,"domain_scores_codex":[0.9655826,0.02720139,0.0008202646,0.001705084,0.004305711,0.0003849703],"domain_scores_gemma":[0.8460764,0.137555,0.002887516,0.007102716,0.00609106,0.0002872921],"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":[0.0007374606,0.0002685573,0.05145893,0.0009246464,0.001542091,0.0002034571,0.0009558369,0.1984357,0.002729301,0.2308005,0.004045621,0.5078979],"study_design_scores_gemma":[0.0003196208,0.001330048,0.0294229,0.0009158612,0.0006640215,0.0008961422,0.00091739,0.7864449,0.009954553,0.1532552,0.01565913,0.0002202545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05874976,0.00394534,0.9335892,0.0004278446,0.000120513,0.00008996983,0.00008652884,0.0001792681,0.00281159],"genre_scores_gemma":[0.4739818,0.002119002,0.5215732,0.0002369385,0.0001870442,0.0002858259,0.0003749779,0.0001437965,0.001097393],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0399496,"threshold_uncertainty_score":0.2112762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265732833916336,"score_gpt":0.3856945493566737,"score_spread":0.2591212659650401,"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."}}