{"id":"W2002405951","doi":"10.3138/cpp.39.supplement1.s41","title":"Trends in Population Growth Inequality across Subnational Jurisdictions in Canada","year":2013,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Political science; Geography; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000502872,0.0002335044,0.0005339616,0.002793415,0.00019155,0.0002880627,0.000344456,0.0002215304,0.003027771],"category_scores_gemma":[0.0002854022,0.0003504235,0.0001457628,0.002592532,0.00007457765,0.0009209671,0.00004368211,0.000320658,0.0001937474],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01524795,"about_ca_system_score_gemma":0.005426073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999905,"about_ca_topic_score_gemma":0.9999948,"domain_scores_codex":[0.9970428,0.00005812514,0.001181338,0.0005219358,0.00006744034,0.00112831],"domain_scores_gemma":[0.9984681,0.0000621158,0.0003222339,0.0003075081,0.00009906721,0.000740954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[5.469457e-7,0.00002317185,0.5975632,0.000006809322,0.00002387202,0.0000042817,0.0001263397,0.0003342213,3.069998e-8,0.3847719,0.003947209,0.01319837],"study_design_scores_gemma":[0.0003251956,0.0000068466,0.885332,0.000009639864,0.000001807605,0.000003147067,0.00006731225,0.02395834,9.733805e-8,0.02635426,0.0636378,0.000303553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384107,0.0009237136,0.00001773365,0.2454821,0.0006455399,0.0001299793,0.002538916,0.000004752937,0.01184652],"genre_scores_gemma":[0.9898092,0.0003146635,0.00003257954,0.003189604,0.0004012122,0.00007400499,0.0007647153,0.00002630448,0.005387703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584177,"threshold_uncertainty_score":0.9998948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965511801496964,"score_gpt":0.237158009932558,"score_spread":0.2075028919175884,"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."}}