{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006550436,0.0002969294,0.0003162897,0.001229898,0.002723911,0.00197579,0.0009457709,0.0005747678,0.002734643],"category_scores_gemma":[0.003141205,0.00020375,0.0005245674,0.002351846,0.0007403702,0.0005302618,0.001397513,0.0009022459,0.0003618906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209805,"about_ca_system_score_gemma":0.02433506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9788194,"about_ca_topic_score_gemma":0.987928,"domain_scores_codex":[0.9995227,0.00003196226,0.00002515299,0.00007069125,0.0001429223,0.0002066897],"domain_scores_gemma":[0.997945,0.0001770583,0.0004784214,0.00010784,0.0006544155,0.0006372008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005330297,0.00004676163,0.9881764,0.00001856965,0.00002564179,0.00009488563,0.001989266,0.0005014469,0.0001346153,0.0002728319,0.0006850719,0.008001049],"study_design_scores_gemma":[0.000003342522,0.00001668302,0.993046,0.00004654916,0.000008953535,0.00003398241,0.004634381,0.0008845688,0.00004809122,0.00007789631,0.001185672,0.00001387973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974869,0.0001575723,0.00009570093,0.0001680421,0.00000696533,0.00001135122,0.0008492856,0.000004918495,0.001219131],"genre_scores_gemma":[0.9968413,0.0002368185,0.0001234487,0.000035227,0.00000234363,0.000009433947,0.001218384,0.000004814158,0.001528153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02118057,"threshold_uncertainty_score":0.08777797,"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."}}