{"id":"W7000005830","doi":"","title":"Discrimination Ã  l'embauche des immigrants qualifiÃ©s: impact des normes formelles et informelles","year":2016,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Immigration; Norm (philosophy); Inequality; Labour law; Age discrimination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004724419,0.0002549306,0.0002901249,0.00110013,0.005921226,0.00705019,0.0008921467,0.001140431,0.01536587],"category_scores_gemma":[0.02017526,0.0001416771,0.0002998664,0.001264223,0.004431874,0.001411368,0.00415772,0.001581246,0.0009374409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01908434,"about_ca_system_score_gemma":0.0342124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8539057,"about_ca_topic_score_gemma":0.8757976,"domain_scores_codex":[0.9934292,0.002012475,0.0001595366,0.0003116347,0.002319288,0.001767807],"domain_scores_gemma":[0.9869376,0.004602673,0.001583532,0.0005271435,0.003140768,0.003208391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003837256,0.000361622,0.5130468,0.0002564461,0.00007229483,0.0007149602,0.05109009,0.0006405312,0.0006581622,0.1001704,0.05015177,0.2824532],"study_design_scores_gemma":[0.00006788539,0.0002575873,0.7306277,0.0009530074,0.00008222448,0.0003041928,0.1188432,0.0009654996,0.000741347,0.009004391,0.1380187,0.0001343402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399625,0.003138611,0.0005402313,0.04689619,0.0003424977,0.00006235096,0.0008246319,0.00005416603,0.2081788],"genre_scores_gemma":[0.9751422,0.000907752,0.000194753,0.00150469,0.00004584744,0.00001986608,0.0001451938,0.00001503611,0.02202476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8539057,"threshold_uncertainty_score":0.2939094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138982449517146,"score_gpt":0.3063379217183695,"score_spread":0.2749480972231981,"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."}}