{"id":"W1990988604","doi":"10.1353/dem.2001.0025","title":"A model of destination-language acquisition: Application to male immigrants in Canada","year":2001,"lang":"en","type":"article","venue":"Demography","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":412,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Explanatory power; Immigration; Residence; Respondent; Census; Educational attainment; First language; Demography; Demographic economics; Human capital; Explanatory model; Geography; Country of origin; Psychology; Sociology; Population; Political science; Medicine; Economic growth; Economics; Statistics","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":[0.001254256,0.000697123,0.0008404508,0.001103342,0.002182906,0.002320089,0.002681131,0.001288562,0.01119375],"category_scores_gemma":[0.002895785,0.0003811318,0.0007667321,0.001767826,0.001415724,0.000759562,0.001299387,0.001401404,0.0007868212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01412959,"about_ca_system_score_gemma":0.01537258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9169887,"about_ca_topic_score_gemma":0.8472503,"domain_scores_codex":[0.9995314,0.0001261342,0.00001316927,0.00007355223,0.00006393066,0.0001917667],"domain_scores_gemma":[0.9988837,0.0004068966,0.0001339109,0.00002896263,0.0002969113,0.0002497198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003953848,0.0003350583,0.1131704,0.0001715181,0.0002086718,0.001443954,0.004025629,0.5553298,0.0004880523,0.2793244,0.01678254,0.02832468],"study_design_scores_gemma":[0.0002252688,0.0001077805,0.0251018,0.00008475906,0.0001094358,0.0001531722,0.002752571,0.9370369,0.0001043366,0.02559895,0.008648027,0.00007696527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882496,0.001442184,0.05243322,0.009429019,0.0001453735,0.0004026485,0.005505272,0.0003966106,0.04199597],"genre_scores_gemma":[0.9714244,0.0008333756,0.005948666,0.0001584438,0.0000331947,0.000157681,0.0008717599,0.00002651095,0.02054593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08301133,"threshold_uncertainty_score":0.1670004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696998453312744,"score_gpt":0.2576053425015569,"score_spread":0.2489083440482441,"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."}}