{"id":"W1569707565","doi":"10.1108/09504120810894865","title":"Statscan: Canada's National Statistics Agency","year":2008,"lang":"en","type":"article","venue":"Reference Reviews","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Statistics; Political science; Sociology; Mathematics; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004263252,0.002251812,0.002210473,0.02238155,0.004461318,0.008341105,0.002928537,0.001633886,0.1010339],"category_scores_gemma":[0.03697358,0.001551594,0.001042968,0.05924304,0.00145776,0.003291709,0.001653365,0.003729384,0.0409593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05940599,"about_ca_system_score_gemma":0.2915194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923038,"about_ca_topic_score_gemma":0.9904818,"domain_scores_codex":[0.9890602,0.0009022476,0.0008992719,0.000780799,0.007151378,0.001206109],"domain_scores_gemma":[0.9221199,0.004805531,0.001972609,0.00219144,0.06715347,0.001757192],"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":[0.00001302796,0.000006352483,0.0009076956,0.0001327487,0.000007869851,0.000008212637,0.00004726141,0.0001516266,0.000009984247,0.002558113,0.9686923,0.02746494],"study_design_scores_gemma":[0.00001977061,0.000007153711,0.01162946,0.0005654682,0.00004181381,0.00001986362,0.0002340134,0.0006060288,0.0001148379,0.001329747,0.9854003,0.00003161523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.002456346,0.03319525,0.008023631,0.02903669,0.005924074,0.0005423047,0.6492235,0.008030077,0.2635681],"genre_scores_gemma":[0.02487712,0.04841697,0.0162743,0.004768481,0.001511192,0.001033877,0.3486821,0.004321528,0.5501145],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1010339,"threshold_uncertainty_score":0.4310226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2711424000927705,"score_gpt":0.3886655546294746,"score_spread":0.1175231545367041,"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."}}