{"id":"W7097077755","doi":"","title":"Methods used for Small Domain Estimation of Census Net Undercoverage in the 2001 Canadian Census","year":2010,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Small area estimation; Census; Estimation; Population; Regression; Bayes' theorem; Sample size determination; Calibration; Smoothing spline","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009351967,0.001133597,0.001166518,0.008720885,0.00190224,0.001383832,0.002004619,0.0004639682,0.01090986],"category_scores_gemma":[0.05550334,0.0005897296,0.0009203206,0.01559137,0.0006647678,0.0008144567,0.001319861,0.001098644,0.002193315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020528,"about_ca_system_score_gemma":0.01897602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8722672,"about_ca_topic_score_gemma":0.8736921,"domain_scores_codex":[0.991365,0.002551036,0.0006590924,0.0007956479,0.004295484,0.0003337546],"domain_scores_gemma":[0.986686,0.003325122,0.001003023,0.001701783,0.007120593,0.0001633995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001170506,0.0001005609,0.05056624,0.001614704,0.0003476077,0.0002330852,0.002776584,0.04887673,0.001566904,0.09241612,0.1125842,0.6888003],"study_design_scores_gemma":[0.0001385652,0.0001035409,0.2978571,0.001284743,0.0002141107,0.0005466471,0.003205358,0.1249092,0.00478347,0.04539938,0.5210549,0.0005030708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01445051,0.00264808,0.9089711,0.0006856723,0.0003305604,0.005934449,0.04131566,0.001532372,0.02413166],"genre_scores_gemma":[0.06252245,0.003452902,0.8832672,0.000233194,0.00008005523,0.007139547,0.02670697,0.0005566139,0.01604098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1277328,"threshold_uncertainty_score":0.2569699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112406503212265,"score_gpt":0.3995061189906792,"score_spread":0.2870996157784143,"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."}}