{"id":"W7084126691","doi":"10.64628/aam.4ta7jnawy","title":"Canada’s labour market is failing racialized immigrant women, requiring an urgent policy response","year":2025,"lang":"en","type":"article","venue":"","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Government (linguistics); Race (biology); Ethnic group; Public policy; Unemployment","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":[0.00352262,0.0004171437,0.0006824086,0.001137302,0.02978551,0.00880988,0.003190977,0.007950986,0.02535577],"category_scores_gemma":[0.006764572,0.0003251474,0.0007784379,0.001765308,0.008565446,0.002533045,0.004036022,0.008064772,0.001480981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03983888,"about_ca_system_score_gemma":0.2812778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9716318,"about_ca_topic_score_gemma":0.9920565,"domain_scores_codex":[0.9952021,0.0004469003,0.00008263333,0.0001841765,0.00116268,0.002921558],"domain_scores_gemma":[0.985437,0.001361364,0.0006029329,0.0001597324,0.003510765,0.008928111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002426608,0.0003242251,0.0592553,0.0007018085,0.00009402814,0.002479544,0.03056605,0.0003603689,0.002458403,0.06784386,0.7351988,0.100475],"study_design_scores_gemma":[0.00008989001,0.0001380914,0.04751452,0.00128119,0.00007347448,0.0003635144,0.2074508,0.0003206223,0.000570793,0.007928815,0.7340964,0.0001719441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08478376,0.003325104,0.0003568653,0.8690302,0.002887865,0.00008028596,0.0005294661,0.00007051459,0.03893582],"genre_scores_gemma":[0.3945088,0.007703524,0.002325543,0.520167,0.001207291,0.0001432095,0.0003865809,0.0001054013,0.07345272],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03983888,"threshold_uncertainty_score":0.2890527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352474276939617,"score_gpt":0.2626618231236814,"score_spread":0.2491370803542853,"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."}}