{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001280194,0.00004761992,0.00006560888,0.00006437217,0.00004736078,0.00001247972,0.00001889108,0.0000170883,0.00001660632],"category_scores_gemma":[0.001035197,0.00002945539,0.000006030325,0.0002861377,0.00001029496,0.00004286587,0.000004384241,0.00003675379,0.00000169806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000398696,"about_ca_system_score_gemma":0.000008208752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007506831,"about_ca_topic_score_gemma":0.00009312398,"domain_scores_codex":[0.9994289,0.00006446773,0.0001978885,0.00006014531,0.0001778736,0.0000706971],"domain_scores_gemma":[0.9996551,0.00008048014,0.00005230757,0.00007961374,0.0001270249,0.000005439598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002207075,0.00003744478,0.00740846,0.00002977493,0.000007223901,6.239646e-7,0.0007353465,0.00001458361,0.00004391161,0.985652,0.004706667,0.00136174],"study_design_scores_gemma":[0.0007928112,0.00003386031,0.05003947,0.00005025262,0.00001929437,0.00001204976,0.001266304,0.0006056446,0.0002548397,0.9314982,0.01528284,0.000144435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616108,0.000380032,0.009320434,0.002266604,0.0001284872,0.0004693379,0.000001942134,0.00003449382,0.02578787],"genre_scores_gemma":[0.9966893,0.00003060164,0.002916282,0.0002297572,0.000009701478,0.000008795872,0.000001580966,0.000003079217,0.0001109142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05415382,"threshold_uncertainty_score":0.1239302,"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."}}