{"id":"W7099110924","doi":"","title":"Statistics Canada Variance Estimation for the General Regression Estimator","year":2011,"lang":"en","type":"article","venue":"","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Jackknife resampling; Leverage (statistics); Population variance; Variance (accounting); Regression; Population; Confidence interval; Mean squared error; Regression analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009744723,0.00005631512,0.00004100166,0.000004151934,0.0001835054,0.00001270152,0.0001288145,0.00001333053,0.001051425],"category_scores_gemma":[0.0000265424,0.00003105633,0.00000861148,0.00004680992,0.00003213762,0.00006293457,0.00005889693,0.00002600914,0.00002311271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005047478,"about_ca_system_score_gemma":0.00001241125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1608419,"about_ca_topic_score_gemma":0.1424741,"domain_scores_codex":[0.9995545,0.000007763163,0.00008877511,0.0001041102,0.0001253608,0.0001195473],"domain_scores_gemma":[0.9997557,0.00005328032,0.00004101643,0.0001178882,0.000003550188,0.00002850109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004252355,0.00004892312,0.01210212,0.0000273456,0.00002921734,0.000007994458,0.0002831464,0.03736567,0.0003984867,0.03137034,0.724058,0.1942662],"study_design_scores_gemma":[0.0001700053,0.0000186273,0.03748842,0.00000652957,0.00002269316,9.699593e-7,0.00006456553,0.9409106,0.0007272586,0.002720794,0.01775563,0.0001139337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007671633,0.00001043876,0.9734712,0.0003039575,0.0004165599,0.0002954482,0.00001213977,0.00002087886,0.01779778],"genre_scores_gemma":[0.3199156,0.000006956616,0.658564,0.0004362552,0.00005454079,0.00003639035,0.00001686107,0.00001259897,0.02095679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9035449,"threshold_uncertainty_score":0.9998618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138319877135686,"score_gpt":0.2356354044654476,"score_spread":0.2142522056940907,"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."}}