{"id":"W4410737743","doi":"10.1016/bs.host.2025.04.002","title":"Combining information from multiple sources in official statistics","year":2025,"lang":"en","type":"book-chapter","venue":"Handbook of statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003230794,0.0004560418,0.001080982,0.0003282523,0.00007515257,0.00006084861,0.0002986095,0.0004134406,0.0008637301],"category_scores_gemma":[0.004572778,0.0004742412,0.00007027901,0.00005253865,0.0002697423,0.00008421038,0.0001646619,0.0005954063,0.00005044182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049067,"about_ca_system_score_gemma":0.0003404198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002863038,"about_ca_topic_score_gemma":0.0003572353,"domain_scores_codex":[0.997178,0.00007172157,0.001579699,0.0002901773,0.0005706308,0.0003098288],"domain_scores_gemma":[0.9888976,0.009248774,0.0009133076,0.0004042529,0.0004344784,0.0001016103],"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":[0.00009314231,0.00004436638,0.00009778724,0.0005691231,0.0000837639,0.00001758416,0.0006145993,0.000008940013,0.00001029139,0.90115,0.01627985,0.08103053],"study_design_scores_gemma":[0.0009963941,0.0001459212,0.0001195902,0.002609019,0.0002115677,8.202449e-7,0.0000626,0.007726328,0.0001877088,0.9752439,0.01223344,0.000462718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001516653,0.0002206308,0.9075102,0.000007359005,0.0003533386,0.0004133519,0.03149576,0.00004079648,0.05994345],"genre_scores_gemma":[0.0002532602,0.0003943046,0.9852518,0.00009016599,0.00008203951,0.00001548189,0.001273379,0.00005041801,0.01258914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08056781,"threshold_uncertainty_score":0.9997709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630197113371947,"score_gpt":0.3105441487303794,"score_spread":0.2475244373931847,"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."}}