{"id":"W2291539882","doi":"","title":"The Earnings Advantage of Landed Immigrants Who Were Previously Temporary Residents in Canada","year":2015,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Demographic economics; Political science; Work (physics); Labour economics; Business; Economics; Accounting; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736093,0.0001960413,0.0002525007,0.0008971508,0.004703301,0.001547448,0.0007750106,0.0002963239,0.002603913],"category_scores_gemma":[0.001564629,0.0001044238,0.0002146312,0.001753622,0.0009456569,0.0004479783,0.001390982,0.0007050494,0.0002051195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02078579,"about_ca_system_score_gemma":0.02915374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924314,"about_ca_topic_score_gemma":0.9973322,"domain_scores_codex":[0.9994931,0.00002274712,0.00001381233,0.00004077199,0.0001285557,0.0003009719],"domain_scores_gemma":[0.9989278,0.00004774758,0.0001553408,0.00002017446,0.0003940157,0.0004550138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002745024,0.000136374,0.9470876,0.00003913754,0.00003419244,0.0006848063,0.01324123,0.0003164189,0.0004992869,0.0022555,0.004465775,0.03096503],"study_design_scores_gemma":[0.00001161088,0.00003058077,0.9662041,0.00005574654,0.00001802415,0.0001257371,0.02937513,0.000347,0.0001182823,0.0001551972,0.003537301,0.00002124345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959959,0.0002408826,0.00001650798,0.0004143295,0.00001112016,0.000005566646,0.0003200283,0.000001919517,0.002993832],"genre_scores_gemma":[0.9973277,0.0002794211,0.00003214606,0.00005888684,0.000003836181,0.000001948766,0.0002173991,0.000001500762,0.002077125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02078579,"threshold_uncertainty_score":0.1508122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07436442372885321,"score_gpt":0.3974917046882296,"score_spread":0.3231272809593764,"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."}}