{"id":"W7095904145","doi":"","title":"What Is Happening to Earnings Inequality in Canada in the 1990s?","year":2011,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Inequality; Happening; Polarization (electrochemistry); Economic inequality; Social inequality","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":[0.002017643,0.0004495673,0.0007518503,0.004520454,0.01063707,0.006466151,0.001837131,0.001809537,0.006121113],"category_scores_gemma":[0.007407907,0.0003578091,0.0007952803,0.01627176,0.003184716,0.00284227,0.002614514,0.004122425,0.0004177986],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1579235,"about_ca_system_score_gemma":0.1850958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989512,"about_ca_topic_score_gemma":0.9991415,"domain_scores_codex":[0.9962116,0.0001216011,0.0001236516,0.0002967704,0.001346819,0.001899534],"domain_scores_gemma":[0.9918931,0.0003633865,0.0007322089,0.0001458419,0.004717549,0.00214803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005163277,0.0002073969,0.4313047,0.001485422,0.0002844375,0.001248895,0.02380281,0.001568882,0.0005268943,0.06613676,0.1829572,0.2899603],"study_design_scores_gemma":[0.00002395065,0.00002949511,0.8827273,0.0009547574,0.00007536984,0.0001437599,0.01340022,0.0004885319,0.0001770741,0.002510765,0.09936102,0.0001077379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4020177,0.1417043,0.0005981859,0.3306583,0.002366378,0.0001052347,0.02076557,0.0001416299,0.1016427],"genre_scores_gemma":[0.8998969,0.06374823,0.0006273756,0.01574036,0.0008422146,0.00003752479,0.005395165,0.00006178391,0.01365043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579235,"threshold_uncertainty_score":0.9766894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04862275825822597,"score_gpt":0.2231778604892296,"score_spread":0.1745551022310036,"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."}}