{"id":"W1993782642","doi":"10.1111/j.0008-4085.2004.012_1.x","title":"A longitudinal analysis of earnings change in Canada","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Queen's University","funders":"","keywords":"Earnings; Microdata (statistics); Economics; Demographic economics; Labour economics; Demography; Population; Census; Sociology; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001058996,0.0002349552,0.0003418125,0.003468163,0.002463637,0.001567245,0.0009262467,0.0003957689,0.003441895],"category_scores_gemma":[0.003810995,0.0002926108,0.0004038993,0.01032259,0.0004399304,0.0004998354,0.001040417,0.0007846585,0.0006968566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0238822,"about_ca_system_score_gemma":0.02824804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952314,"about_ca_topic_score_gemma":0.9962935,"domain_scores_codex":[0.9991436,0.00006484459,0.00004239266,0.000115592,0.0003496054,0.0002839484],"domain_scores_gemma":[0.9948631,0.000221926,0.0007163385,0.0001804328,0.003406889,0.0006112668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008279451,0.00004397821,0.9795732,0.00002499609,0.00007775606,0.00009349202,0.0009352912,0.0006272279,0.0001170956,0.0006134629,0.006928479,0.01088219],"study_design_scores_gemma":[0.000004104265,0.000007810358,0.9941413,0.00002045632,0.00001086547,0.00001814095,0.000563457,0.0006763402,0.00006072601,0.0000473558,0.004439117,0.00001040352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385868,0.001256048,0.0003442091,0.001244248,0.00003773804,0.0000545435,0.05325083,0.0000452408,0.005180415],"genre_scores_gemma":[0.9706402,0.0007864543,0.0004151934,0.0001360484,0.00001344176,0.00003638401,0.02238587,0.00001060709,0.005575693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0238822,"threshold_uncertainty_score":0.1732783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321039988543873,"score_gpt":0.1888571686579138,"score_spread":0.05675316980352649,"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."}}