{"id":"W4225727761","doi":"10.1093/ser/mwac036","title":"Ups and downs in finance, ups without downs in inequality","year":2022,"lang":"en","type":"article","venue":"Socio-Economic Review","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"European Social Fund; Agence Nationale de la Recherche; Norges Forskningsråd; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ministerio de Ciencia e Innovación; Danmarks Frie Forskningsfond; National Science Foundation","keywords":"Inequality; Economics; Restructuring; Earnings; Capital (architecture); Labour economics; Economic inequality; Finance; Monetary economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002710445,0.0003050786,0.001358689,0.0002905915,0.0002189075,0.00005543518,0.0004012903,0.0001111208,0.0009469357],"category_scores_gemma":[0.00003127752,0.0003797364,0.0002003671,0.0003557162,0.0001175883,0.0003827458,0.0003179966,0.0005380929,0.0003965588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007365478,"about_ca_system_score_gemma":0.0001003321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245786,"about_ca_topic_score_gemma":0.0002108193,"domain_scores_codex":[0.9968146,0.0001375745,0.001540922,0.000820823,0.00004279291,0.0006432623],"domain_scores_gemma":[0.9986019,0.00007168802,0.000673934,0.0005665385,0.00001065575,0.00007528769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003761098,0.000264146,0.498314,0.001881838,0.00005219358,0.0001121992,0.003593277,0.0002372449,0.000001820962,0.4724926,0.01027766,0.01273544],"study_design_scores_gemma":[0.00132322,0.00005890117,0.08897732,0.0002705152,0.000009792243,0.00002954242,0.0002337633,0.0002013949,6.921491e-7,0.01289831,0.8953773,0.0006191902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7907589,0.1591123,0.00002623568,0.002347595,0.00044546,0.00102343,0.0002377673,0.00004032315,0.04600802],"genre_scores_gemma":[0.8464861,0.1459785,0.0001593653,0.002754228,0.00009131851,0.0004222094,0.0000411065,0.00004591507,0.004021242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850997,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864832986190075,"score_gpt":0.2656959823703456,"score_spread":0.2270476525084448,"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."}}