{"id":"W2764200494","doi":"","title":"2017-11 Different Paths? Human Capital Prices, Wages and Inequality in Canada and the US","year":2017,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Human capital; Labour economics; Inequality; Per capita; Capital (architecture); Capital deepening; Relative price; Demographic economics; Monetary economics; Capital formation; Macroeconomics; Financial capital; Economic growth; Population","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":[0.0006819928,0.0001715259,0.000402986,0.001923265,0.00303322,0.003206506,0.0006424427,0.0006654673,0.006074809],"category_scores_gemma":[0.002984267,0.0001670386,0.000359089,0.00487573,0.001959342,0.000967857,0.001179603,0.001196291,0.0002282819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05087056,"about_ca_system_score_gemma":0.07106753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976209,"about_ca_topic_score_gemma":0.9983954,"domain_scores_codex":[0.9990932,0.00004724623,0.00002033165,0.00008600934,0.0002688559,0.0004843872],"domain_scores_gemma":[0.99837,0.0001454316,0.0002369999,0.00003777132,0.0006984759,0.0005113957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002914729,0.0001591267,0.7289299,0.0001732856,0.0002110508,0.0003682234,0.007477599,0.003165001,0.0003411982,0.143965,0.04004015,0.07487793],"study_design_scores_gemma":[0.00003715172,0.00002257737,0.9423778,0.0002614961,0.0000933629,0.00004946621,0.007970475,0.002710856,0.0002717978,0.00904312,0.03710038,0.00006165252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8595005,0.009746082,0.000585441,0.04466677,0.0001506163,0.00005719885,0.008406633,0.00005019229,0.07683658],"genre_scores_gemma":[0.9887857,0.002174557,0.0002878764,0.0008334143,0.00002273805,0.00000833772,0.0009721863,0.00001518117,0.006899979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05087056,"threshold_uncertainty_score":0.3690935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403181596767457,"score_gpt":0.2725034504246918,"score_spread":0.2484716344570173,"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."}}