{"id":"W3123379227","doi":"10.20381/ruor-25519","title":"Human Capital, Urbanization, and Canadian Provincial Growth","year":2001,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human capital; Economics; Conditional convergence; Urbanization; Per capita; Shock (circulatory); Per capita income; Demographic economics; Convergence (economics); Capital (architecture); Geography; Economic growth; Population; Demography","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":[0.0008800208,0.0001958836,0.0003477053,0.001631673,0.001686084,0.001344115,0.0005068813,0.0001657868,0.002751547],"category_scores_gemma":[0.005241012,0.000127918,0.0003687214,0.004547713,0.0009261267,0.0004288978,0.000859217,0.0004586942,0.0001638884],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02773003,"about_ca_system_score_gemma":0.02670434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951317,"about_ca_topic_score_gemma":0.9968574,"domain_scores_codex":[0.9993762,0.00005345649,0.00001747159,0.00007583872,0.0001971639,0.0002798733],"domain_scores_gemma":[0.996962,0.0004711399,0.000447198,0.000153891,0.001560138,0.000405561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001854119,0.00002171963,0.9394804,0.00005965626,0.00009407282,0.0001742682,0.001397384,0.01345668,0.0002544896,0.01553455,0.005398089,0.02394342],"study_design_scores_gemma":[0.000009756751,0.00001186667,0.9818325,0.00003399441,0.00003220899,0.00005612406,0.00143675,0.006745809,0.0002293418,0.001237613,0.008354274,0.00001981385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653503,0.0012083,0.001279199,0.00171924,0.00002272557,0.0000210569,0.007407369,0.00007535238,0.02291654],"genre_scores_gemma":[0.99506,0.000469707,0.0002981821,0.00003368253,0.000003265938,0.00000408099,0.001459252,0.000007604454,0.002664087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.97227,"threshold_uncertainty_score":0.2011964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05496920029286789,"score_gpt":0.2388790684588113,"score_spread":0.1839098681659434,"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."}}