{"id":"W7027489743","doi":"","title":"The complementarily of language and other human capital: immigration earnings in Canada","year":2003,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (UWA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Immigration; Complementarity (molecular biology); Language proficiency; First language; Language assessment","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":[0.0005262222,0.0002138737,0.0002661247,0.001037391,0.001524782,0.00134653,0.0005119335,0.0002018556,0.00241972],"category_scores_gemma":[0.002750331,0.00008741643,0.0002355824,0.001855772,0.0007375727,0.0003379707,0.0009333155,0.000500261,0.0001473778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169905,"about_ca_system_score_gemma":0.0151974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856418,"about_ca_topic_score_gemma":0.9936546,"domain_scores_codex":[0.9995085,0.00004171699,0.00001701099,0.00004403303,0.0001854468,0.0002033094],"domain_scores_gemma":[0.9981599,0.000246972,0.0003792942,0.00005566245,0.0006994223,0.0004586187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009561719,0.00003286136,0.9758375,0.00001887541,0.00003326813,0.00016539,0.001276857,0.0007416221,0.0001844823,0.001315612,0.001123158,0.01917487],"study_design_scores_gemma":[0.000002761773,0.00001005193,0.9964485,0.00001711802,0.00001414613,0.00002732634,0.001159345,0.0004024309,0.0000907891,0.0001118249,0.00170907,0.000006474438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944858,0.0005874994,0.00007662951,0.0005481671,0.000009011377,0.000005516551,0.0007193773,0.000005085818,0.003562961],"genre_scores_gemma":[0.9970764,0.0003330565,0.00007410948,0.00002585258,0.000005097943,0.000001504496,0.0003379966,0.000001847982,0.002144129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01435822,"threshold_uncertainty_score":0.08488297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357904576228063,"score_gpt":0.3371360527988064,"score_spread":0.3135570070365257,"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."}}