{"id":"W4253203804","doi":"10.7765/9781847791481.00003","title":"Acknowledgements","year":2013,"lang":"en","type":"book-chapter","venue":"Manchester University Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Killam Trusts; University of Cambridge; University of Victoria; University of Calgary","keywords":"Neutrality; Politics; Polity; Political science; Dream; State (computer science); Government (linguistics); Consolidation (business); Official statistics; Law; Sociology; Public administration; Statistics; Economics; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005802962,0.0002615127,0.0002721558,0.00010506,0.00009965817,0.00003549926,0.000235734,0.0002775396,0.002204327],"category_scores_gemma":[0.0000130172,0.0002921981,0.0001288218,0.000003363754,0.00005470366,0.00009319957,0.0002086338,0.0002109145,0.0007871613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124982,"about_ca_system_score_gemma":0.00001943433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004784931,"about_ca_topic_score_gemma":0.000008797732,"domain_scores_codex":[0.9991471,0.00001873734,0.0001902388,0.0002785259,0.0002023779,0.0001629883],"domain_scores_gemma":[0.9989586,0.00005992168,0.0002401206,0.0004348773,0.000225223,0.00008122462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001573791,0.00001468402,0.00001374046,0.0002525561,0.0001176459,0.0000171525,0.0003796228,9.928614e-7,0.000002382488,0.8335846,0.1575171,0.008083729],"study_design_scores_gemma":[0.0003234489,0.00001527662,0.00006215209,0.0001554397,0.0001649009,0.000001528817,0.000006450962,0.00009355827,0.00001842489,0.02980204,0.9690595,0.0002972639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001606606,0.00001490561,0.0009624148,0.00001349151,0.0002941541,0.0004400457,0.0000290513,0.0001332917,0.997952],"genre_scores_gemma":[0.0002925969,0.000008836265,0.001950025,0.00002979579,0.0001595038,9.558124e-7,0.00003881037,0.00004575039,0.9974737],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8115424,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08311337030418688,"score_gpt":0.2616230719287902,"score_spread":0.1785097016246033,"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."}}