{"id":"W2883136459","doi":"10.3968/10367","title":"Exploring the Functions of Code-Switching in a Zhuhai’s Middle School","year":2018,"lang":"en","type":"article","venue":"Canadian social science","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code-switching; Class (philosophy); Code (set theory); China; Mathematics education; Computer science; Sociology; Linguistics; Psychology; Programming language; Political science; Law; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007912936,0.0002412034,0.0002459419,0.001538217,0.002842425,0.002129918,0.0005676638,0.000321024,0.001213954],"category_scores_gemma":[0.001410113,0.0001902404,0.0001728741,0.001419021,0.002007094,0.0009752296,0.001681097,0.0006878574,0.00009119097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003171832,"about_ca_system_score_gemma":0.002899602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1170785,"about_ca_topic_score_gemma":0.1945026,"domain_scores_codex":[0.9991671,0.0002118165,0.00003331002,0.0001478099,0.0001409777,0.00029893],"domain_scores_gemma":[0.9984512,0.0003014903,0.0003679682,0.00009571656,0.0002336866,0.0005499086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008541492,0.0002404234,0.6333725,0.00004263668,0.0000139096,0.0005116008,0.3310073,0.00007600294,0.005748236,0.002234549,0.0002635579,0.02640388],"study_design_scores_gemma":[0.000002772448,0.00007518704,0.8465109,0.00002175065,0.00001142845,0.0000799108,0.1491925,0.0003436962,0.000768557,0.0002468947,0.002729438,0.00001694472],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999454,0.00001754423,0.00004269488,0.0000257263,6.18425e-7,0.000002479193,0.0000072527,0.000002279418,0.0004475142],"genre_scores_gemma":[0.9995959,0.00001872772,0.00007260129,0.000007130811,6.78889e-7,0.000002648942,0.00001385858,0.00000170931,0.0002866099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170785,"threshold_uncertainty_score":0.2327942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618828666746152,"score_gpt":0.4279436233875256,"score_spread":0.1660607567129104,"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."}}