{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069802,0.0001641763,0.0004007437,0.0005529744,0.0006159887,0.00001190545,0.0002045155,0.0002292724,0.0002533613],"category_scores_gemma":[0.000846119,0.0001356779,0.00009797611,0.001250176,0.00005877467,0.000406901,0.00009947085,0.001693936,0.00004226383],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008967684,"about_ca_system_score_gemma":0.006029462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5909154,"about_ca_topic_score_gemma":0.4883348,"domain_scores_codex":[0.997144,0.0004606723,0.001369358,0.0001347566,0.0004711973,0.0004200122],"domain_scores_gemma":[0.9975109,0.001090528,0.0008783218,0.0001482877,0.000188945,0.0001830514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004608462,0.00001590199,0.6098392,0.000005247759,0.00005298272,0.0000567401,0.0005149249,0.0001830919,0.000002948713,0.00004279214,0.3890449,0.0001951407],"study_design_scores_gemma":[0.001976148,0.00006560771,0.9352786,0.0009513388,0.00004450414,0.000002382034,0.02621359,0.00003569637,0.000005537473,0.0002601387,0.03498472,0.0001817212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654766,0.0002201013,0.000002084093,0.02403218,0.003397109,0.0004119602,0.00003109962,0.00003413189,0.006394737],"genre_scores_gemma":[0.988133,0.00009109033,0.00001031931,0.0001797807,0.0009878898,0.00002407994,0.00004561982,0.00002517679,0.01050311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540602,"threshold_uncertainty_score":0.9996054,"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."}}