{"id":"W2188701520","doi":"","title":"Model-Based Unemployment Rate Estimation for the Canadian Labour Force Survey: A Hierarchical Bayes Approach","year":2003,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Small area estimation; Econometrics; Statistics; Estimator; Bayes' theorem; Gibbs sampling; Estimation; Bayesian probability; Bayes estimator; Posterior probability; Economics; Covariate; Bayesian hierarchical modeling; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002313228,0.0001525573,0.0002002998,0.0000542727,0.0003250138,0.0001074713,0.0001665252,0.00008526765,0.00009020013],"category_scores_gemma":[0.00513209,0.00008534328,0.00005685553,0.0001637439,0.0000821378,0.00002804489,0.000008846149,0.0001348397,0.000003983109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009284046,"about_ca_system_score_gemma":0.000519998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008213539,"about_ca_topic_score_gemma":0.06638367,"domain_scores_codex":[0.9985895,0.0003922866,0.0002594717,0.0002339239,0.0001611091,0.0003637735],"domain_scores_gemma":[0.994305,0.005009319,0.00005465891,0.0002991334,0.0001389674,0.0001929261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001557207,0.00004244451,0.0001367088,0.00005238366,0.0000152534,3.413317e-7,0.00004345451,0.00202755,0.000005593187,0.9904373,0.0005583945,0.006665001],"study_design_scores_gemma":[0.0001841943,0.00002285747,0.0003710474,0.000004891175,0.00001456635,5.314294e-7,0.000007286126,0.5201377,0.00009346489,0.4789616,0.0001200378,0.00008177096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005416412,0.000005999423,0.994688,0.0006763496,0.00005171849,0.0007133167,0.000179126,0.00003807056,0.003105801],"genre_scores_gemma":[0.2625937,5.567581e-7,0.7359159,0.0004562282,0.000009847806,0.0001704819,0.00001710566,0.00001845506,0.0008177268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5181102,"threshold_uncertainty_score":0.9983909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208690271310007,"score_gpt":0.3685073281617664,"score_spread":0.2476383010307657,"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."}}