{"id":"W2606601314","doi":"","title":"Labour market outcomes of immigrant women who arrive as dependants of economic immigrant principal applicants","year":2017,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Human capital; Earnings; Principal (computer security); Assortative mating; Demographic economics; Economics; Labour economics; Political science; Sociology; Demography; Population; Economic growth","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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.003276635,0.0002216047,0.0008987286,0.0001493038,0.001503179,0.000145604,0.0009920212,0.0001337867,0.001089586],"category_scores_gemma":[0.003265409,0.0001743422,0.0001824458,0.0002191416,0.003785291,0.0005486726,0.0005043864,0.0003135242,0.00005071027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481703,"about_ca_system_score_gemma":0.0004080513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01506344,"about_ca_topic_score_gemma":0.1848294,"domain_scores_codex":[0.9964703,0.0004288996,0.0006228783,0.0004451201,0.001098949,0.0009338368],"domain_scores_gemma":[0.9972845,0.0007345286,0.0002755579,0.0006856734,0.0007072583,0.0003124275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008366433,0.0002674334,0.2903273,0.0002780395,0.001827912,0.00002753568,0.08478057,0.00001122126,0.0003725381,0.6136845,0.001849914,0.005736407],"study_design_scores_gemma":[0.00134272,0.0004584494,0.7458941,0.0001345561,0.00005636489,0.000001550771,0.1331388,0.0001778982,0.0004585084,0.01979274,0.0980511,0.0004932208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736614,0.0003943117,0.000005359843,0.004180201,0.0001142802,0.0004818054,0.0001385622,0.00002209472,0.02100203],"genre_scores_gemma":[0.9732396,0.007189931,0.00004142848,0.00009030803,0.00009601908,0.00008806715,0.000001844485,0.00001736051,0.01923546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5938917,"threshold_uncertainty_score":0.9998236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05606096549526165,"score_gpt":0.4186090796803709,"score_spread":0.3625481141851092,"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."}}