{"id":"W1547249706","doi":"10.7202/1025030ar","title":"Licensing Requirements and Occupational Mobility Among Highly Skilled New Immigrants in Canada","year":2014,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Immigration; Demographic economics; Occupational mobility; Occupational prestige; Occupational licensing; Affect (linguistics); Business; Labour economics; Political science; Psychology; Medicine; Economics; Environmental health; Socioeconomic status; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003576635,0.0001280367,0.000199489,0.00009713451,0.0006815157,0.000006924549,0.00006731786,0.0001593114,0.0001631279],"category_scores_gemma":[0.0005298535,0.0001195678,0.00001794957,0.0002662052,0.000048957,0.0001505454,0.00008518343,0.0004464576,0.00001793873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122416,"about_ca_system_score_gemma":0.001317527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8806983,"about_ca_topic_score_gemma":0.9262149,"domain_scores_codex":[0.9985276,0.000233229,0.0004872846,0.0002282219,0.0002189167,0.0003047427],"domain_scores_gemma":[0.9987867,0.0006965566,0.0001525327,0.0001730191,0.00007994682,0.0001112503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001317465,0.00001385731,0.9765775,0.000003492014,0.00001604683,6.175692e-7,0.0009546957,0.00005304253,0.000004136813,0.0009695105,0.01839894,0.002995009],"study_design_scores_gemma":[0.0008327554,0.00001172037,0.9829139,0.0001490745,0.00001409136,1.32878e-7,0.00178234,0.0003487929,0.000006697794,0.0004594576,0.01336366,0.000117433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904807,0.0001279207,0.0001051196,0.003017977,0.0002879003,0.000440019,0.00001109655,0.00002912617,0.005500146],"genre_scores_gemma":[0.9955673,0.0000283727,0.0001181882,0.0002130318,0.0001454652,0.00002434023,0.00002902551,0.00001085499,0.003863468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04551661,"threshold_uncertainty_score":0.5241736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139276324413998,"score_gpt":0.3421734652149259,"score_spread":0.2907807019707859,"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."}}