{"id":"W4406837393","doi":"10.3138/9781487551537-008","title":"8 Limited Statism: Canada’s First Answer","year":2024,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statism; Political science; Keynesian economics; Economics; Law; Politics","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":[0.002613356,0.001142114,0.001161447,0.002868204,0.01021521,0.01013791,0.00237039,0.01492815,0.1811543],"category_scores_gemma":[0.0184434,0.0009543524,0.001060828,0.00339649,0.004331043,0.0062484,0.003191603,0.009295748,0.04702263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04104382,"about_ca_system_score_gemma":0.06957868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9364924,"about_ca_topic_score_gemma":0.9634446,"domain_scores_codex":[0.9958304,0.0004365124,0.0001516726,0.0005038048,0.002029358,0.001048246],"domain_scores_gemma":[0.992274,0.001250225,0.0001204334,0.0003540064,0.005024879,0.0009764601],"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":[0.000004854925,0.000003257286,0.00008419273,0.0000198095,0.000001740733,0.00002335089,0.00009070786,0.00002313989,0.00001921607,0.02362943,0.9707324,0.005367911],"study_design_scores_gemma":[0.000004982927,0.000001404742,0.0002929588,0.00008178245,0.000003108396,0.00002161853,0.0002280445,0.00005436602,0.00002658214,0.005250239,0.99402,0.00001499519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0008566255,0.01014694,0.001880494,0.4916249,0.02111105,0.00006340009,0.003617858,0.0005006235,0.4701981],"genre_scores_gemma":[0.008340433,0.002871526,0.001520347,0.1279745,0.003420218,0.0000670255,0.0008213636,0.0006118228,0.8543728],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1811543,"threshold_uncertainty_score":0.6060215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989154098155055,"score_gpt":0.236025103757055,"score_spread":0.1961335627755044,"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."}}