{"id":"W2372120486","doi":"","title":"Immersion Instruction and Its Application in Canada's Ethnic Languages Education","year":2014,"lang":"en","type":"article","venue":"Zhongyang Caizheng Jinrong Xueyuan xuebao","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Multiculturalism; Bilingual education; Immersion (mathematics); China; Neuroscience of multilingualism; Sociology; Multicultural education; Linguistics; Pedagogy; Political science; Anthropology; Mathematics; Philosophy","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":[0.0008658933,0.0001681752,0.0001786513,0.0002239876,0.0001349517,0.00007716517,0.0003893959,0.00007762499,0.000009909929],"category_scores_gemma":[0.0001408692,0.0001755916,0.00002644697,0.0005212423,0.00001796864,0.0004646948,0.00009149034,0.0002728679,0.00002299065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807334,"about_ca_system_score_gemma":0.0007924582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2851361,"about_ca_topic_score_gemma":0.2301429,"domain_scores_codex":[0.998325,0.0003348729,0.0002731583,0.0004713936,0.0003164616,0.0002790704],"domain_scores_gemma":[0.9990306,0.0001578098,0.0001334697,0.0004355148,0.00009422824,0.0001483921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005033482,0.00007337637,0.02138324,0.00007603902,0.000009628006,0.000001306084,0.002404753,0.0001319726,0.003204881,0.05888835,0.0008598913,0.9129615],"study_design_scores_gemma":[0.001265084,0.00006925242,0.8697821,0.0001899789,0.00002583604,0.00007806671,0.00251664,0.06384294,0.008373097,0.002224416,0.05062006,0.00101249],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453768,0.0008278514,0.04617024,0.002251456,0.001094333,0.0002840052,0.000001324706,0.00012657,0.003867431],"genre_scores_gemma":[0.9894633,0.00002907422,0.009297125,0.0005446215,0.0001589019,0.00004949405,0.00001154007,0.00001661192,0.0004293144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.911949,"threshold_uncertainty_score":0.783905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185892740119168,"score_gpt":0.2896562557201183,"score_spread":0.2777973283189267,"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."}}