{"id":"W2558351252","doi":"","title":"Regression Composite Estimation for the Canadian Labour Force Survey: Evaluation and Implementation","year":2001,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Econometrics; Variance (accounting); Publication; Regression; Series (stratigraphy); Statistics; Sample (material); Perspective (graphical); Mathematics; Computer science; Economics; Artificial intelligence; Accounting; Advertising; Business","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":[0.001995571,0.00007154732,0.00008557462,0.0000391243,0.0003375294,0.0000870661,0.00005283197,0.00003704147,0.0002829748],"category_scores_gemma":[0.001075415,0.00004400829,0.00001328308,0.00009579225,0.00002446317,0.0000755221,0.000009746456,0.00003978491,0.000002181604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007384896,"about_ca_system_score_gemma":0.00008485538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04571429,"about_ca_topic_score_gemma":0.4000634,"domain_scores_codex":[0.9992216,0.0001781438,0.0001685488,0.0001178395,0.0001697,0.0001441769],"domain_scores_gemma":[0.9974405,0.002083237,0.00006731558,0.000113815,0.000227706,0.00006745547],"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":[0.00002135849,0.000007675594,0.007961612,0.00002411843,0.00001242759,2.563926e-7,0.0001667595,0.000004128333,0.0001047096,0.4967231,0.001211046,0.4937628],"study_design_scores_gemma":[0.0003854325,0.00003566525,0.2172238,0.00001498826,0.00004268855,0.000003922432,0.00008841541,0.1319074,0.0001936551,0.6498191,0.0002115213,0.00007331085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03242623,0.00002375378,0.9651969,0.0008994532,0.00006711154,0.0007981799,0.00006336463,0.0000152778,0.0005097196],"genre_scores_gemma":[0.566537,0.000008844949,0.4330268,0.0001343402,0.00002086625,0.00007551739,0.000055301,0.000007115335,0.0001341646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5341108,"threshold_uncertainty_score":0.9606404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482063352579231,"score_gpt":0.4830692655314393,"score_spread":0.3348629302735161,"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."}}