{"id":"W2069507627","doi":"10.1080/0034340032000065406","title":"Human Capital, Urbanization and Canadian Provincial Growth","year":2003,"lang":"en","type":"article","venue":"Regional Studies","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human capital; Economics; Urbanization; Per capita; Convergence (economics); Shock (circulatory); Per capita income; Conditional convergence; Nova scotia; Capital (architecture); Demographic economics; Geography; Development economics; Economic growth; Population; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008640215,0.0001814475,0.0002596569,0.001509711,0.002379056,0.001503444,0.0005024559,0.000205651,0.00393784],"category_scores_gemma":[0.004350229,0.0001179417,0.000300678,0.004871408,0.0009644429,0.000463594,0.0009358525,0.000515912,0.0001690304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03729015,"about_ca_system_score_gemma":0.04597439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970431,"about_ca_topic_score_gemma":0.9977441,"domain_scores_codex":[0.9994777,0.00004896074,0.0000159188,0.00004829595,0.0002095375,0.0001995872],"domain_scores_gemma":[0.997646,0.0003466656,0.0002841497,0.00008117985,0.001364786,0.0002771521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764784,0.0000357422,0.7975792,0.0001692045,0.0001005112,0.0002899557,0.005603555,0.01062626,0.0002343634,0.07970516,0.0303226,0.07515688],"study_design_scores_gemma":[0.00001655266,0.00001849407,0.9470598,0.0001439527,0.00005888912,0.00006696152,0.004419269,0.005328583,0.0002734252,0.004781829,0.03780016,0.00003215592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748299,0.01021035,0.001837312,0.01370162,0.0001077892,0.00006013299,0.01436751,0.00008866483,0.08479659],"genre_scores_gemma":[0.9866117,0.003243682,0.0004494252,0.0001407146,0.000009112738,0.00000797194,0.001657882,0.000007378418,0.007872249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03729015,"threshold_uncertainty_score":0.2705603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529618793438398,"score_gpt":0.2218801177727475,"score_spread":0.1689182384289077,"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."}}