{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003643946,0.00004999267,0.00004171654,0.0000719452,0.0002039559,0.00007680142,0.00009542291,0.00002798442,0.0001470525],"category_scores_gemma":[0.00008190641,0.00004341052,0.00001404502,0.0001327478,0.00006803415,0.0001887033,0.000002286944,0.00006011057,0.000002101544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401944,"about_ca_system_score_gemma":0.0001505852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.922124,"about_ca_topic_score_gemma":0.9992328,"domain_scores_codex":[0.9992984,0.0001572092,0.0001444651,0.00009820495,0.0002029673,0.00009873008],"domain_scores_gemma":[0.999709,0.0001011021,0.00003854568,0.00004916481,0.00007119103,0.00003102133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008677973,0.0001109612,0.6736189,0.000004875742,0.00003129163,0.000005614971,0.1560616,0.003548482,0.00003553755,0.1470632,0.01912363,0.0003873168],"study_design_scores_gemma":[0.0004802239,0.00002890464,0.4175347,0.00002584704,0.00001481041,0.000003181509,0.08607766,0.00487726,0.0001464021,0.01088796,0.4796807,0.0002423995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809123,0.00001977963,0.0004141833,0.01258427,0.0001752405,0.0001501553,0.00001619747,0.000009498876,0.005718427],"genre_scores_gemma":[0.9981097,0.0001874426,0.00003542469,0.0008752439,0.0000527441,0.00002744903,0.0001117706,0.000002698127,0.0005975564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.460557,"threshold_uncertainty_score":0.177023,"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."}}