{"id":"W7099593144","doi":"","title":"Labor Mobility of Immigrants: Training, Experience and Opportunities","year":2002,"lang":"en","type":"article","venue":"","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Immigration; Welfare; Training (meteorology); Wage; Unemployment; Quarter (Canadian coin); Rate of return","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":[0.0004569921,0.0002132904,0.0003329847,0.0005478953,0.0004419955,0.001241869,0.0004298474,0.0006692583,0.005119001],"category_scores_gemma":[0.001225987,0.0001713111,0.0005745844,0.0006807425,0.0004724674,0.0006110427,0.0008067118,0.0003890586,0.0004430898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006399268,"about_ca_system_score_gemma":0.000779593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013691,"about_ca_topic_score_gemma":0.01779069,"domain_scores_codex":[0.9997609,0.00008127835,0.00001476519,0.00003844722,0.00002941835,0.00007518294],"domain_scores_gemma":[0.9996731,0.0001384099,0.00009294191,0.00001682562,0.00002394052,0.00005469278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003052077,0.0004927956,0.804615,0.0001702881,0.0002010269,0.002071906,0.00268791,0.1058682,0.002163399,0.04308936,0.001796075,0.03653888],"study_design_scores_gemma":[0.00009211792,0.0009581571,0.6230248,0.0003881014,0.0002071801,0.001241014,0.01100433,0.3188173,0.001242481,0.03183698,0.01105453,0.0001329688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897776,0.0004538406,0.004995918,0.0007110092,0.0000149402,0.00003738729,0.0003648715,0.000008668992,0.003635607],"genre_scores_gemma":[0.9945913,0.0004155441,0.0005913771,0.00004040238,0.00002043794,0.00002922392,0.000252797,0.000002525385,0.004056453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02013691,"threshold_uncertainty_score":0.04003942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08428189281435922,"score_gpt":0.2458171052253747,"score_spread":0.1615352124110155,"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."}}