{"id":"W7097391936","doi":"","title":"Quality of Work Experience and Economic Development-Estimates using Canadian Immigrant Data*","year":2011,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Quality (philosophy); Work experience; Per capita; Human capital; Work (physics)","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":[0.002681709,0.0003917565,0.0004237432,0.005232218,0.001114751,0.001630621,0.0008421253,0.0002543574,0.003362156],"category_scores_gemma":[0.009481404,0.0002013736,0.001030304,0.008810909,0.0005913698,0.0004757688,0.00116745,0.0005988825,0.0004651678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005297,"about_ca_system_score_gemma":0.01138631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850391,"about_ca_topic_score_gemma":0.982776,"domain_scores_codex":[0.9989185,0.0001713144,0.00008338494,0.0001183452,0.0004324384,0.0002761366],"domain_scores_gemma":[0.9934002,0.00122385,0.001248514,0.0004220956,0.003030335,0.0006750264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006354832,0.00003578771,0.9792001,0.0001019721,0.0002651637,0.00006289247,0.0005993049,0.002892358,0.00007942108,0.001519109,0.003908991,0.01127143],"study_design_scores_gemma":[0.000008519048,0.0000121513,0.9907442,0.00004079366,0.00005246123,0.00002184873,0.0008673532,0.003135606,0.0001110937,0.0001518141,0.004836098,0.00001813615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458309,0.00164212,0.001762637,0.000518623,0.00003294108,0.0001093598,0.04025529,0.00008464621,0.009763643],"genre_scores_gemma":[0.972001,0.0007949261,0.001979504,0.00004925343,0.00001159681,0.00006867794,0.02230826,0.00002075953,0.002766124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496089,"threshold_uncertainty_score":0.07293969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551587603788505,"score_gpt":0.3613652658595782,"score_spread":0.2062065054807277,"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."}}