{"id":"W135954159","doi":"10.1023/a:1010625515456","title":"Match or mismatch? The employment of immigrant engineers in Canada's labor force","year":2001,"lang":"en","type":"article","venue":"Population Research and Policy Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Demography; Valuation (finance); Immigration; Geography; Demographic economics; Population; Sociology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005353194,0.000179555,0.0005991217,0.003875871,0.005142987,0.004862892,0.001749725,0.001792569,0.002540865],"category_scores_gemma":[0.01496979,0.0001813098,0.0003375642,0.009160581,0.002526292,0.001319696,0.001464696,0.0007719844,0.0002516665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03466044,"about_ca_system_score_gemma":0.1159438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662989,"about_ca_topic_score_gemma":0.988545,"domain_scores_codex":[0.9969124,0.0007040407,0.0001771307,0.0001932036,0.001009198,0.001004144],"domain_scores_gemma":[0.9913446,0.001843371,0.00127407,0.0001477078,0.00405663,0.001333639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009561595,0.0002654798,0.5974479,0.002126704,0.000308033,0.0007544317,0.02867921,0.001346208,0.0008138749,0.01318268,0.03077916,0.3233402],"study_design_scores_gemma":[0.00004901197,0.0001519727,0.7784316,0.002533693,0.000311269,0.0002468065,0.1488664,0.0006219187,0.0004126791,0.002932289,0.06536678,0.00007547018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374762,0.08960411,0.0001550093,0.048604,0.0003991172,0.00004452584,0.001105519,0.000009303807,0.02260222],"genre_scores_gemma":[0.948761,0.04304099,0.0001898674,0.003882022,0.0001639002,0.0000219157,0.0003294789,0.000006208827,0.003604663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466044,"threshold_uncertainty_score":0.2514803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07128551361250955,"score_gpt":0.4247275272834188,"score_spread":0.3534420136709093,"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."}}