{"id":"W1966840421","doi":"10.7202/050536ar","title":"Racial Discrimination in Employment in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racism; Employment discrimination; Political science; Criminology; Demographic economics; Sociology; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001620132,0.0001498153,0.0002993596,0.002392584,0.0172254,0.003487906,0.001185453,0.00153206,0.00319683],"category_scores_gemma":[0.005513218,0.0002452867,0.0003654473,0.004248777,0.002935151,0.0007115734,0.001685354,0.002382182,0.0001575961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09541274,"about_ca_system_score_gemma":0.21144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978747,"about_ca_topic_score_gemma":0.999249,"domain_scores_codex":[0.9962747,0.0001897548,0.00008224836,0.000174947,0.001360927,0.001917409],"domain_scores_gemma":[0.9955429,0.0003865189,0.0005146632,0.00005613569,0.002058155,0.001441566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002536189,0.0003846951,0.4392596,0.0005519247,0.00008972763,0.002238,0.03762881,0.003082791,0.001830462,0.2020209,0.08736384,0.2252956],"study_design_scores_gemma":[0.00006085374,0.00007115513,0.7966141,0.0008842129,0.00009119568,0.0003304636,0.03127986,0.001810874,0.0006125365,0.004937707,0.1631863,0.0001208255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805129,0.01766558,0.0004693306,0.08050856,0.0007850702,0.00008366367,0.0006931869,0.0000331047,0.1192487],"genre_scores_gemma":[0.9800267,0.005343527,0.0002306906,0.005347449,0.0001025872,0.00001191098,0.00009380212,0.000007892112,0.00883538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09541274,"threshold_uncertainty_score":0.6922711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015366309986075,"score_gpt":0.3180233199420676,"score_spread":0.2678696568422069,"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."}}