{"id":"W2118518849","doi":"10.1111/0008-4085.00097","title":"Distributional dynamics following a technological revolution","year":2001,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Political science; Earnings; Economics; Welfare economics; Philosophy; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008636839,0.0001274048,0.0004222326,0.001486503,0.001228855,0.002223902,0.0006172659,0.000950288,0.009150796],"category_scores_gemma":[0.008730149,0.0001531454,0.0004034775,0.001131539,0.001880679,0.003102725,0.002258395,0.0009252967,0.0007847882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964283,"about_ca_system_score_gemma":0.0004782877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003306279,"about_ca_topic_score_gemma":0.002249604,"domain_scores_codex":[0.9995863,0.00007505305,0.00001972658,0.00009852149,0.00009541056,0.0001248924],"domain_scores_gemma":[0.9975297,0.0007202292,0.0007807236,0.0002681653,0.0003923607,0.0003088224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000217329,0.00009106161,0.04198335,0.00007566839,0.00005815169,0.001205362,0.002016236,0.04242635,0.003645059,0.8564612,0.004381778,0.04743841],"study_design_scores_gemma":[0.00006505799,0.0001700876,0.07674146,0.00005901173,0.00003336294,0.001229571,0.003879727,0.1082583,0.001445453,0.7761402,0.03187857,0.00009923791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316732,0.001147453,0.02446828,0.004022745,0.00007557261,0.00002560232,0.0002886988,0.0001103596,0.03818812],"genre_scores_gemma":[0.9936802,0.000363629,0.0008694375,0.00008492712,0.00003648523,0.00001265089,0.00009978109,0.00001756443,0.004835219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009150796,"threshold_uncertainty_score":0.03061247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09602998599800425,"score_gpt":0.1760506781302371,"score_spread":0.08002069213223284,"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."}}