{"id":"W4318466139","doi":"10.1177/00221856231151964","title":"Temporary talent: Wage penalties among highly educated temporary workers in Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Relations","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Earnings; Distribution (mathematics); Wage; Demographic economics; Labour economics; Educational attainment; Economics; Work (physics); Business; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006720547,0.0001428813,0.0002326387,0.0009400361,0.002651266,0.001111614,0.00092499,0.0004177869,0.003320717],"category_scores_gemma":[0.002962559,0.0001414738,0.0002710706,0.001786346,0.00100233,0.0003329158,0.001318909,0.001221099,0.0001560112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01093025,"about_ca_system_score_gemma":0.01942051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734799,"about_ca_topic_score_gemma":0.9921026,"domain_scores_codex":[0.99891,0.00005500214,0.00003542299,0.000076817,0.0003298596,0.0005930634],"domain_scores_gemma":[0.9961326,0.000307952,0.001322412,0.00009123694,0.0008086533,0.001337103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000796612,0.00004828306,0.9842741,0.00002262069,0.00001604866,0.0001954515,0.001221079,0.0001982167,0.0001333985,0.0005701048,0.001495438,0.0117455],"study_design_scores_gemma":[0.00000258608,0.00001102237,0.9954811,0.00002647338,0.000005432657,0.00005440903,0.003248797,0.0002732767,0.00003875329,0.00009198461,0.0007595436,0.000006572424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996182,0.0002666559,0.00006777062,0.0006901659,0.00001046743,0.00000962265,0.0005641639,0.000003393343,0.002205913],"genre_scores_gemma":[0.9987778,0.0001431584,0.00003203514,0.00006231199,0.000004924287,0.000001560103,0.0001640317,0.000001588781,0.0008125911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02652007,"threshold_uncertainty_score":0.07930493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09894716349004916,"score_gpt":0.3580919117884426,"score_spread":0.2591447482983935,"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."}}