{"id":"W1032522831","doi":"","title":"Labor market inequality in Canada","year":2009,"lang":"en","type":"article","venue":"Docs.school Publications","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inequality; Labour economics; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005496544,0.0001356941,0.0002161609,0.0001435548,0.0005377381,0.00001584084,0.000266974,0.00007296589,0.003650782],"category_scores_gemma":[0.001012088,0.0001244192,0.00002901476,0.0007951956,0.0000170924,0.0002567763,0.00006824593,0.000482362,0.0001567098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008314471,"about_ca_system_score_gemma":0.002454289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6973451,"about_ca_topic_score_gemma":0.9446849,"domain_scores_codex":[0.9980971,0.0003101253,0.0005685841,0.0002618901,0.0002456804,0.0005165886],"domain_scores_gemma":[0.9985685,0.0002994258,0.0001470713,0.0004944103,0.0002789303,0.0002116193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005108174,0.00002957918,0.5608785,0.000008604242,0.000005982928,5.205496e-7,0.0001552019,6.316196e-7,0.000006524618,0.01228955,0.42603,0.0005897725],"study_design_scores_gemma":[0.0002740222,0.000007302885,0.6878243,0.00001719055,0.000003992859,1.126135e-7,0.0007532467,0.00001252784,0.000001196786,0.001859356,0.3091522,0.00009458425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3688222,0.0003160321,0.00005428044,0.3258068,0.0004619457,0.001043368,0.0002195175,0.0002062607,0.3030696],"genre_scores_gemma":[0.9696614,0.00008301197,0.0001274891,0.01187941,0.0002091514,0.0003353735,0.00009583979,0.00001132776,0.01759699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6008392,"threshold_uncertainty_score":0.99726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04596361232495953,"score_gpt":0.3937669843147467,"score_spread":0.3478033719897872,"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."}}