{"id":"W4413572071","doi":"10.64628/aam.xct5ymgdt","title":"Regardless of education or training, racialized immigrant women earn less","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Immigration; Training (meteorology); Demographic economics; Sociology; Gender studies; Political science; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002974178,0.0002442687,0.0002981491,0.0009236487,0.0009511001,0.001162839,0.0002145976,0.000334607,0.02342186],"category_scores_gemma":[0.001246845,0.0000613776,0.0001994699,0.000979088,0.0003351072,0.0005154582,0.0007454104,0.0004597529,0.003800666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086771,"about_ca_system_score_gemma":0.0003275824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007405264,"about_ca_topic_score_gemma":0.01310842,"domain_scores_codex":[0.9998247,0.00002559237,0.000007022535,0.00001977036,0.00003486768,0.00008805993],"domain_scores_gemma":[0.9991854,0.0001207603,0.0002614099,0.00007927955,0.000119616,0.0002335381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006057603,0.0008408232,0.8410162,0.0002071076,0.0002383653,0.0005317301,0.01368832,0.0002761033,0.009076246,0.01404775,0.01017875,0.1092928],"study_design_scores_gemma":[0.00002896901,0.0003565335,0.9371142,0.0001632297,0.00007732227,0.0003367212,0.02560836,0.000238888,0.001836617,0.003380148,0.0308385,0.00002052145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834732,0.000324206,0.0002541314,0.0006742742,0.00009075883,0.00000942481,0.000603768,0.00001954205,0.0145505],"genre_scores_gemma":[0.9690775,0.000478742,0.0002729208,0.0005528652,0.00005068649,0.00001772813,0.0006112307,0.00001315059,0.02892523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02342186,"threshold_uncertainty_score":0.07835388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05494131915206905,"score_gpt":0.3570544247405182,"score_spread":0.3021131055884492,"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."}}