{"id":"W2117409225","doi":"","title":"REGIONAL DISPARITIES IN CANADA: INTERPROVINCIAL OR URBAN/RURAL?","year":2011,"lang":"en","type":"article","venue":"Region et Developpement","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Census; Rurality; Lagging; Geography; Rural area; Urbanity; Economic growth; Demographic economics; Regional science; Economic geography; Socioeconomics; Political science; Economics; Demography; Economy; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002659314,0.0001914156,0.0004362789,0.0002448504,0.00006059934,0.00003090695,0.0002847587,0.00006056156,0.0004654135],"category_scores_gemma":[0.00003409591,0.0001869514,0.00009674472,0.0002192495,0.00004412123,0.0001883769,0.00008966616,0.0001324703,0.00007952532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165275,"about_ca_system_score_gemma":0.0007323297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9110459,"about_ca_topic_score_gemma":0.9575909,"domain_scores_codex":[0.9984268,0.00001932918,0.0007928099,0.0003577333,0.00006162495,0.0003417181],"domain_scores_gemma":[0.9992878,0.00003338026,0.000305966,0.0002334038,0.00003215795,0.0001073163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344022,0.00008419778,0.4998686,0.00001968447,0.00009545203,0.00006436453,0.0007585444,0.00004256291,4.543469e-7,0.479594,0.01815078,0.001186961],"study_design_scores_gemma":[0.001106685,0.00009836844,0.8100623,0.00008677514,0.00001069328,0.00002795884,0.0007107293,0.002904062,0.00002746663,0.04373415,0.1403539,0.000876852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923456,0.001193656,0.008285866,0.0314641,0.00109085,0.000591816,0.00009100041,0.00005107091,0.03377566],"genre_scores_gemma":[0.9939512,0.000862224,0.0006110906,0.002692685,0.00005929845,0.0000561374,0.0000285704,0.00002059352,0.001718219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4358598,"threshold_uncertainty_score":0.7623656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07962281304341491,"score_gpt":0.212331858508872,"score_spread":0.1327090454654571,"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."}}