{"id":"W4245615001","doi":"10.1007/978-1-349-95810-8_1113","title":"Statistical Society of Canada","year":2018,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council; Department of Science and Technology, Ministry of Science and Technology, India; Science and Engineering Research Board; Savoy Foundation; Science and Technology Facilities Council; Menzies Foundation; Samuel H. Kress Foundation","keywords":"Regional science; Geography; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005929329,0.001494208,0.00266661,0.006467254,0.003963016,0.005693633,0.00224816,0.001507189,0.1885052],"category_scores_gemma":[0.04623236,0.001229592,0.001086416,0.01453408,0.001917202,0.002280226,0.001915151,0.004971525,0.09520554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02816116,"about_ca_system_score_gemma":0.1168905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8567249,"about_ca_topic_score_gemma":0.8589199,"domain_scores_codex":[0.989601,0.001258118,0.0007095127,0.001419806,0.006219753,0.0007919256],"domain_scores_gemma":[0.9253798,0.00844761,0.002526113,0.00549161,0.05535492,0.002800008],"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":[0.00003375203,0.000007406422,0.001044466,0.000179604,0.000023719,0.0000363182,0.00009043614,0.000202251,0.00005683606,0.007855733,0.9339183,0.0565512],"study_design_scores_gemma":[0.00002945454,0.00001625849,0.005552843,0.0003881146,0.00002818425,0.00006730981,0.00012919,0.0006981824,0.0001252794,0.004571619,0.9883502,0.00004344153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002441317,0.01691119,0.03473274,0.02449773,0.01110562,0.0009744462,0.4878997,0.01036702,0.4110702],"genre_scores_gemma":[0.02322916,0.02379415,0.04108241,0.005869642,0.00170349,0.002150641,0.1471788,0.006161113,0.7488307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8567249,"threshold_uncertainty_score":0.6306129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422409426377329,"score_gpt":0.2821354166338325,"score_spread":0.2398944739960996,"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."}}