{"id":"W2041148499","doi":"10.1111/j.0020-7985.2003.00263.x","title":"Unemployment Transitions among Brazilians in the United States and Canada","year":2003,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Reservation; Demographic economics; Reservation wage; Wage; Economics; Political science; Labour economics; Economic growth; 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":[0.0009548786,0.0002225761,0.0004836925,0.001442669,0.004312679,0.001548272,0.0005681493,0.0004076697,0.001358523],"category_scores_gemma":[0.003088244,0.0002033201,0.000467239,0.003240382,0.0007422376,0.0003320571,0.001764339,0.0005819791,0.0001121892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0153435,"about_ca_system_score_gemma":0.0167166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863743,"about_ca_topic_score_gemma":0.9937425,"domain_scores_codex":[0.9994274,0.00006424327,0.00003164966,0.00005135973,0.0001339937,0.0002912403],"domain_scores_gemma":[0.9986953,0.00008234094,0.0002149109,0.0000368976,0.0005740164,0.0003966063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001182325,0.00006396329,0.9658899,0.00004921581,0.00003460599,0.0002752341,0.0196831,0.0001576392,0.0002641594,0.0006048149,0.0008639782,0.01199496],"study_design_scores_gemma":[0.000006840924,0.00003347562,0.9605376,0.00007852728,0.00002508908,0.00008365732,0.03545421,0.0002844809,0.00007037193,0.00007189764,0.003334838,0.00001908686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972091,0.0002440385,0.00001626972,0.0002347399,0.0000058582,0.00001661359,0.0004349739,0.000002300118,0.001835995],"genre_scores_gemma":[0.9981844,0.0004525908,0.00006828456,0.00008901204,0.000002309208,0.00001315752,0.0004250301,0.000002262487,0.0007630038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153435,"threshold_uncertainty_score":0.1113254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497073103047702,"score_gpt":0.268706281313209,"score_spread":0.2537355502827319,"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."}}