{"id":"W2970656788","doi":"","title":"LibGuides: Government Publications - Canada: Statistics: Suveys, Census & NHS","year":2009,"lang":"en","type":"libguides","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Government (linguistics); Geography; Statistics; County government; Political science; Public administration; Demography; Sociology; Population; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[],"category_scores_codex":[0.0003122793,0.0004679977,0.0005827006,0.00008787034,0.0002267557,0.0001400276,0.0003972162,0.0003165303,0.002063158],"category_scores_gemma":[0.001455213,0.0004350714,0.00009667279,0.0002312819,0.00003559488,0.0001221535,0.00007265411,0.0003832493,0.0000311993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418244,"about_ca_system_score_gemma":0.001227744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2249404,"about_ca_topic_score_gemma":0.707092,"domain_scores_codex":[0.9963926,0.00008363244,0.001136417,0.0004774537,0.001446474,0.0004634254],"domain_scores_gemma":[0.9970607,0.0007335172,0.0007302224,0.0008505615,0.0003987586,0.0002262345],"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":[0.000002839783,0.00005937866,0.0001233267,0.000131473,0.00004765773,0.000004659456,0.0000220475,0.00001335071,3.926741e-7,0.202877,0.7910861,0.005631674],"study_design_scores_gemma":[0.0002085921,0.0000279313,0.003295923,0.0001022518,0.0001447345,0.000008198655,0.00004178625,0.001127259,0.000009336606,0.04454132,0.9499989,0.0004937997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003386729,0.001294738,0.07318333,0.02668078,0.005616467,0.003476942,0.05701708,0.001395073,0.8309969],"genre_scores_gemma":[0.002727939,0.0005513811,0.2671528,0.003538809,0.002059444,0.0001482623,0.0208704,0.0002857443,0.7026652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4821516,"threshold_uncertainty_score":0.9998101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554818282421877,"score_gpt":0.3123401189691055,"score_spread":0.2568582907269178,"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."}}