{"id":"W2187460448","doi":"","title":"MEASUREMENT AND INNOVATION IN THE 2001 CENSUS COVERAGE STUDIES","year":2003,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Data collection; Statistics; Estimation; Population; Geography; Population statistics; Small area estimation; Observational error; Demographic analysis; Econometrics; Demography; Mathematics; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1175367,0.0007155546,0.0010106,0.01313919,0.002483796,0.006616154,0.002934475,0.001239509,0.003033984],"category_scores_gemma":[0.3758437,0.0007342615,0.0009025004,0.02912213,0.006771297,0.0074008,0.006868288,0.00262143,0.0003662361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01910096,"about_ca_system_score_gemma":0.01570737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1892221,"about_ca_topic_score_gemma":0.135994,"domain_scores_codex":[0.8488415,0.08521373,0.009548541,0.008794851,0.04454925,0.003052203],"domain_scores_gemma":[0.6523721,0.22808,0.02935031,0.02864619,0.0589149,0.002636347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001793864,0.0001168625,0.2020319,0.002012094,0.0004565359,0.0001742633,0.01072858,0.00606361,0.0002064576,0.4822365,0.02790777,0.2678861],"study_design_scores_gemma":[0.00009364159,0.0003993947,0.3920411,0.006576541,0.0005048534,0.0004156408,0.009931165,0.01917982,0.001766218,0.2056063,0.36322,0.0002652458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2528836,0.07609209,0.2666231,0.06991357,0.004663139,0.004117809,0.01350004,0.0005653761,0.3116412],"genre_scores_gemma":[0.8427577,0.01781221,0.1158412,0.004618972,0.002097964,0.002753692,0.003931619,0.0002043898,0.009982115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1892221,"threshold_uncertainty_score":0.6216011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.27792906540269,"score_gpt":0.3887922396329118,"score_spread":0.1108631742302218,"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."}}