{"id":"W7098640475","doi":"","title":"Inequality and technical change: old and new theories of segmentation°","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Workforce; Economic inequality; Wage; Income distribution; Wage inequality; Government (linguistics); Margin (machine learning)","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":[0.003748756,0.0007595942,0.0008155618,0.005100138,0.003186299,0.007163654,0.001861242,0.00366114,0.01437446],"category_scores_gemma":[0.007091491,0.0002946499,0.0008012158,0.007144477,0.02918105,0.01451388,0.005988553,0.003213025,0.001559404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005965271,"about_ca_system_score_gemma":0.001874627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004648,"about_ca_topic_score_gemma":0.00235186,"domain_scores_codex":[0.9976469,0.0007417194,0.00009357305,0.000424754,0.0006289688,0.0004640344],"domain_scores_gemma":[0.9948313,0.002847003,0.0007801637,0.0005030769,0.0006427368,0.0003958063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001615953,0.00002363751,0.001237796,0.00005958769,0.000005500079,0.00003935709,0.00159513,0.0003255527,0.00003215101,0.9833294,0.001501529,0.01183405],"study_design_scores_gemma":[0.000006865097,0.00001165163,0.001966952,0.0001049002,0.000003894143,0.00004557717,0.0006944594,0.0007600118,0.00002970368,0.973174,0.02319547,0.000006529683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07590798,0.0836403,0.08065034,0.1041471,0.001511109,0.0001493226,0.000357499,0.0001346832,0.6535017],"genre_scores_gemma":[0.9013399,0.03857018,0.01163625,0.006645569,0.005730975,0.0002059831,0.0002618738,0.0001676328,0.03544152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01437446,"threshold_uncertainty_score":0.04808736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1733774373278542,"score_gpt":0.2730067144097136,"score_spread":0.09962927708185934,"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."}}