{"id":"W1995702300","doi":"10.5296/rae.v5i2.3505","title":"The Incidence and Costs of Education-Occupation Mismatches in Canada: Evidence from Census Data","year":2013,"lang":"en","type":"article","venue":"Research in Applied Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Census; Residence; Multinomial logistic regression; Earnings; Demographic economics; Incidence (geometry); Demography; Immigration; Foreign born; Multinomial distribution; Geography; Economics; Econometrics; Sociology; Statistics; Population; Mathematics","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":[0.002603706,0.0002551922,0.0003538466,0.00296379,0.001586417,0.001658987,0.001349774,0.0005350698,0.002209187],"category_scores_gemma":[0.02824288,0.0003543233,0.0005194759,0.009013176,0.001335567,0.001105402,0.0018613,0.00091325,0.0001587308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01491911,"about_ca_system_score_gemma":0.01414915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9739612,"about_ca_topic_score_gemma":0.9858127,"domain_scores_codex":[0.9954721,0.000741056,0.0004339616,0.0003759995,0.00234554,0.0006313725],"domain_scores_gemma":[0.9728548,0.006690261,0.01136996,0.00168822,0.005994818,0.001402007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006448855,0.00001716903,0.9873409,0.00007449271,0.00008256253,0.00007808862,0.0003914936,0.0006978,0.00002241978,0.0007481634,0.001245709,0.009236765],"study_design_scores_gemma":[0.000005219269,0.000008319555,0.9955996,0.00006272655,0.00003030326,0.00006352044,0.0009121304,0.001113192,0.00005224432,0.0002401637,0.001900652,0.00001206344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801489,0.0034968,0.0005110548,0.001740822,0.00002091033,0.00003548861,0.01024924,0.00001888014,0.003777855],"genre_scores_gemma":[0.9920502,0.002615799,0.000319423,0.000104003,0.00001147834,0.00001113144,0.004212336,0.000006554909,0.0006689801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603883,"threshold_uncertainty_score":0.1082461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123967593875537,"score_gpt":0.386348263660652,"score_spread":0.2739515042730983,"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."}}