{"id":"W1942111428","doi":"","title":"캐나다 이중언어정책의 이상과 현실","year":2015,"lang":"ko","type":"article","venue":"언어학 연구","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuroscience of multilingualism; Context (archaeology); Political science; Immigration; Bilingual education; Pedagogy; Sociology; Public relations; Economic growth; Linguistics; Geography","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":[0.0006125461,0.0001406241,0.0001286196,0.0006708062,0.004153042,0.002693794,0.0003953923,0.0003530503,0.008883069],"category_scores_gemma":[0.001505732,0.0000585069,0.0001215577,0.0009388989,0.001523778,0.0009871447,0.0006141327,0.0005965647,0.0009523355],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01359682,"about_ca_system_score_gemma":0.01661958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.604698,"about_ca_topic_score_gemma":0.7808139,"domain_scores_codex":[0.9993427,0.0001272954,0.00001695244,0.00009115654,0.0002129249,0.0002090432],"domain_scores_gemma":[0.9988139,0.0001944124,0.0001458597,0.00003802729,0.0006322442,0.0001755641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001655682,0.0001971749,0.2079287,0.0009098554,0.00004291218,0.001961468,0.1779865,0.0009584814,0.00499865,0.2376745,0.05568765,0.3114886],"study_design_scores_gemma":[0.000006606434,0.00009962959,0.2084608,0.0005788872,0.00003865239,0.000726957,0.1870789,0.0006907069,0.002410437,0.005901319,0.5939451,0.00006208992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4964096,0.004099273,0.003770221,0.01807188,0.0003869632,0.0001694182,0.0008172659,0.00007816197,0.4761971],"genre_scores_gemma":[0.9360026,0.002131747,0.001154531,0.001804688,0.00004240919,0.00004451877,0.0002241716,0.00001241362,0.05858296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9864032,"threshold_uncertainty_score":0.79526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158214553203505,"score_gpt":0.3112630076172487,"score_spread":0.2496808620852136,"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."}}