{"id":"W2516880559","doi":"10.1002/cdq.12060","title":"Career Development of Chinese Canadian Professional Immigrants","year":2016,"lang":"en","type":"article","venue":"The Career Development Quarterly","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Prosperity; Career development; Vocational education; Professional development; Prejudice (legal term); Sociology; Political science; Context (archaeology); Public relations; Gender studies; Economic growth; Psychology; Pedagogy; Social psychology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001225765,0.0004377681,0.0005415593,0.0002439418,0.001609032,0.00000991682,0.0008060897,0.0003055659,0.001220686],"category_scores_gemma":[0.00007917756,0.0002175043,0.00008350323,0.0004269363,0.0001328155,0.000160858,0.00008573896,0.0003355449,0.00149998],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669087,"about_ca_system_score_gemma":0.007703239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02249384,"about_ca_topic_score_gemma":0.4720029,"domain_scores_codex":[0.9953804,0.0004445083,0.001402224,0.0004594069,0.0007918024,0.001521642],"domain_scores_gemma":[0.9971898,0.00047447,0.0003885689,0.0006748263,0.0006240052,0.0006483617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001669111,0.00008017293,0.5515679,0.0002642084,0.0001688996,0.00001572541,0.260601,5.333502e-7,0.0008917529,0.0003622331,0.01356656,0.1723141],"study_design_scores_gemma":[0.001488999,0.0001301276,0.6866854,0.001379396,0.00001411671,0.000003881125,0.01376275,0.000002560896,0.000261563,0.0003677016,0.2953963,0.000507178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878501,0.0002590345,0.0001291348,0.003832087,0.00230666,0.001477338,0.00005932729,0.0001104411,0.003975847],"genre_scores_gemma":[0.9804428,0.000008989393,0.001961466,0.0009545154,0.0002209165,0.0004880137,0.00005144215,0.00005528167,0.01581664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495091,"threshold_uncertainty_score":0.9996923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843743469285247,"score_gpt":0.3469044580222157,"score_spread":0.3084670233293632,"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."}}