{"id":"W1630200317","doi":"10.3968/4653","title":"Reform of Chinese Language Teaching Methodology","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Selection (genetic algorithm); Mathematics education; Teaching method; Basic education; Chinese language; Computer science; Pedagogy; Sociology; Psychology; Linguistics; 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":[0.005454309,0.000361886,0.0002227351,0.00172561,0.001491955,0.002445481,0.0008003811,0.0005873557,0.001526639],"category_scores_gemma":[0.00586138,0.0001524885,0.000307216,0.001639566,0.002339226,0.001582672,0.001392608,0.0007399642,0.000279505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007222373,"about_ca_system_score_gemma":0.01659656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136397,"about_ca_topic_score_gemma":0.009421152,"domain_scores_codex":[0.995438,0.002200737,0.0002714627,0.0004099066,0.001288494,0.0003913524],"domain_scores_gemma":[0.9980877,0.0003927472,0.0001239969,0.0002844312,0.001005069,0.0001060899],"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":[0.00006888141,0.0001129271,0.007422858,0.0006177485,0.00003455564,0.0003022832,0.01009593,0.002574853,0.007161397,0.4745668,0.009006255,0.4880355],"study_design_scores_gemma":[0.000250298,0.0005077434,0.03285832,0.0008414432,0.0001260699,0.0009270677,0.006773703,0.02430396,0.0201108,0.1933973,0.7197572,0.0001461846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3417848,0.01263443,0.235788,0.03252291,0.002367841,0.001428707,0.000317699,0.0008290804,0.3723266],"genre_scores_gemma":[0.8719814,0.005758061,0.08003037,0.002131039,0.0004737343,0.0007422833,0.0001757175,0.00007497761,0.03863241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0136397,"threshold_uncertainty_score":0.0524022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410400061210828,"score_gpt":0.4201150696579029,"score_spread":0.3790750635368201,"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."}}