{"id":"W4322009644","doi":"10.1007/s12134-023-01011-1","title":"The Work Trajectories of Married Canadian Immigrant Women, 2006–2019","year":2023,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto; University of Waterloo","funders":"Women and Gender Equality Canada","keywords":"Immigration; Unemployment; Economics; Demographic economics; Fertility; Convergence (economics); Labour economics; Work (physics); Population; Sociology; Political science; Economic growth; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005337859,0.0002634498,0.0003147451,0.001065503,0.000527449,0.0007102016,0.0006011511,0.0002204506,0.0003114986],"category_scores_gemma":[0.0046087,0.0002175674,0.00021587,0.001017199,0.0003868246,0.001119906,0.00002846019,0.0005658657,0.00001997992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220908,"about_ca_system_score_gemma":0.001472809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0293043,"about_ca_topic_score_gemma":0.5238661,"domain_scores_codex":[0.9962082,0.0009575197,0.001309679,0.0002489624,0.0008747305,0.0004008927],"domain_scores_gemma":[0.9943923,0.001476292,0.001111555,0.0001956165,0.002495222,0.0003289873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005712952,0.0001949794,0.04105555,0.00001810243,0.0002893239,0.00001799313,0.1116122,0.002697633,0.008348135,0.7628136,0.05879642,0.01358478],"study_design_scores_gemma":[0.001437303,0.0003838248,0.09340379,0.0004772377,0.00005954859,0.0001285892,0.04912374,0.03073485,0.00250988,0.01470338,0.8064805,0.0005574062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040813,0.0003691917,0.0263753,0.05484127,0.0023419,0.0005147801,0.0001912738,0.0001068493,0.01117816],"genre_scores_gemma":[0.9752432,0.008907286,0.001291638,0.0009579269,0.0006232374,0.00007946288,0.0002259656,0.00003078497,0.01264049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7481102,"threshold_uncertainty_score":0.9771596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138345696658758,"score_gpt":0.289293096275164,"score_spread":0.2779096393085764,"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."}}