{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005727555,0.001180834,0.001537363,0.002618909,0.002459733,0.003519282,0.002955152,0.001522468,0.3211375],"category_scores_gemma":[0.03608265,0.0003782823,0.0007692175,0.00204243,0.001146087,0.002991571,0.005245107,0.004214087,0.2555819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754182,"about_ca_system_score_gemma":0.004148441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535505,"about_ca_topic_score_gemma":0.003455866,"domain_scores_codex":[0.9916919,0.001844789,0.0005334932,0.001115485,0.00442468,0.000389612],"domain_scores_gemma":[0.9707255,0.004200252,0.001034926,0.002119217,0.01816565,0.003754516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005087457,0.00001982839,0.0003112807,0.0002865971,0.000009106454,0.0002355923,0.0008407958,0.00007770085,0.0004389077,0.01190302,0.9468011,0.0390252],"study_design_scores_gemma":[0.000004290025,0.000004836542,0.0001748922,0.0001242902,0.000002892193,0.0001592058,0.0002754015,0.00002886377,0.00008213253,0.00200006,0.997138,0.000005198788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004607035,0.02075164,0.03129445,0.1412035,0.14748,0.001451139,0.04502606,0.005244584,0.6029415],"genre_scores_gemma":[0.01918103,0.007315826,0.0193648,0.02771473,0.01277532,0.001458522,0.02813692,0.00495647,0.8790964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6788625,"threshold_uncertainty_score":0.9683149,"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."}}