{"id":"W4231589117","doi":"10.7765/9781847791481.00013","title":"References","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":"Strong; Wilfrid Laurier University; University of Oxford; Harvard University; Northwestern University; Princeton University; University of Minnesota; University of Cambridge; Yale University","keywords":"Neutrality; Politics; Polity; Political science; Dream; State (computer science); Government (linguistics); Consolidation (business); Law; Sociology; Public administration; 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":[],"category_scores_codex":[0.0006995365,0.0007693956,0.0008323467,0.003520642,0.002327025,0.004964423,0.001871594,0.002048527,0.3939884],"category_scores_gemma":[0.004552927,0.0003369221,0.0006785457,0.004608375,0.0009892088,0.004208847,0.002324134,0.00258844,0.3224967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003090078,"about_ca_system_score_gemma":0.002296134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007875641,"about_ca_topic_score_gemma":0.01019985,"domain_scores_codex":[0.9986606,0.0001785179,0.00008077354,0.0002481671,0.0007205855,0.0001114031],"domain_scores_gemma":[0.9988447,0.0002146903,0.00005118734,0.00016764,0.0006006715,0.0001209319],"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":[0.00000985378,0.00001454969,0.0001193587,0.0001334329,0.000002278651,0.00004968706,0.0001717361,0.00006305509,0.00006719102,0.02699401,0.9133972,0.05897758],"study_design_scores_gemma":[6.277673e-7,0.000001466337,0.00006512501,0.00006490756,5.203039e-7,0.00003076957,0.00004785815,0.000008481538,0.00001453569,0.00163206,0.9981319,0.000001771377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004226606,0.01735583,0.0028101,0.01242816,0.01498934,0.0001156111,0.00401729,0.000719333,0.9471416],"genre_scores_gemma":[0.003001726,0.00973924,0.002148242,0.003737607,0.001975296,0.00007027081,0.004726169,0.0005570731,0.9740444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6060116,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182122463041617,"score_gpt":0.2609638338746188,"score_spread":0.1427515875704571,"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."}}