{"id":"W4400746977","doi":"10.1111/caje.12725","title":"Family migration and structural transformation","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Fudan University; National Natural Science Foundation of China","keywords":"Wage; Productivity; Labour economics; Tertiary sector of the economy; Demographic economics; Economics; Agriculture; Service (business); China; Gender gap; Business; Economic growth; Geography; Economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005075744,0.0003012611,0.0003426634,0.0005181835,0.0009218868,0.001273343,0.0005702896,0.0006621492,0.01231637],"category_scores_gemma":[0.001717422,0.0001693131,0.0006572952,0.0006714871,0.001688812,0.001135538,0.001461581,0.0006069008,0.0004381953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618501,"about_ca_system_score_gemma":0.001102111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02953788,"about_ca_topic_score_gemma":0.02052873,"domain_scores_codex":[0.9996587,0.0001573399,0.000007871837,0.00004886063,0.00002411834,0.0001031648],"domain_scores_gemma":[0.9995661,0.0001242864,0.0001099577,0.00004500978,0.00004629249,0.0001082866],"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":[0.0001426348,0.0002580367,0.1312045,0.0001055511,0.0001352019,0.001172183,0.003468969,0.2835083,0.0007141649,0.5379038,0.003960106,0.03742661],"study_design_scores_gemma":[0.00009209062,0.0005542426,0.1182779,0.0002001757,0.0001281534,0.001009807,0.013329,0.4213243,0.0003919632,0.4078034,0.03681297,0.00007606841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168644,0.0007144609,0.02759333,0.003765068,0.00009293819,0.00008045998,0.0004095626,0.00005552478,0.05042437],"genre_scores_gemma":[0.9952459,0.0002536463,0.0004999294,0.00003773285,0.00001108833,0.00001388257,0.00003193001,0.000004175163,0.003901758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02953788,"threshold_uncertainty_score":0.05873191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07304532180298944,"score_gpt":0.2102180329400657,"score_spread":0.1371727111370763,"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."}}