{"id":"W2901815151","doi":"10.1093/qje/qjab002","title":"The Micro-Level Anatomy of the Labor Share Decline*","year":2021,"lang":"en","type":"article","venue":"The Quarterly Journal of Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"National Science Foundation","keywords":"Wage share; Labour economics; Market share; Economics; Productivity; Revenue; Distribution (mathematics); Product (mathematics); Value (mathematics); Demographic economics; Wage; Efficiency wage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002670476,0.00005815191,0.00011378,0.0008342134,0.0002522493,0.0006835678,0.0002142031,0.0002078833,0.00470393],"category_scores_gemma":[0.001878109,0.00007997521,0.00008108254,0.001114514,0.000438045,0.0004401749,0.0004790456,0.000430755,0.0007343527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005458036,"about_ca_system_score_gemma":0.0001913069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007267968,"about_ca_topic_score_gemma":0.009151121,"domain_scores_codex":[0.9998203,0.00002435776,0.000008811318,0.0000428313,0.00004648593,0.00005725211],"domain_scores_gemma":[0.9985703,0.0003656452,0.0005836326,0.0001085548,0.0002313452,0.0001405008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001685211,0.00007847803,0.9130149,0.00005872601,0.00003519747,0.0002905409,0.002191612,0.001596814,0.004364126,0.01774533,0.007070673,0.0533851],"study_design_scores_gemma":[0.000001801637,0.00002608679,0.9896894,0.00001091888,0.00000324385,0.00004789586,0.0008965376,0.0006916624,0.0005622797,0.002413549,0.005651033,0.000005634872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975063,0.0005699716,0.001210805,0.001967356,0.00002024143,0.00001074516,0.002151721,0.00004778252,0.01895845],"genre_scores_gemma":[0.9982489,0.00009240976,0.0001068155,0.00007784058,0.00001822371,0.000006016438,0.0003458488,0.000004672341,0.001099302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007267968,"threshold_uncertainty_score":0.01573622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598567071663252,"score_gpt":0.2401187731371922,"score_spread":0.2041331024205597,"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."}}