{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004204477,0.00009792861,0.0002114381,0.000257673,0.0002604758,0.00004007983,0.001216587,0.00005490485,0.00006989801],"category_scores_gemma":[0.0003010987,0.00008171281,0.00006224622,0.0009294375,0.000364692,0.0004617337,0.0001435757,0.0001636268,0.000008718881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132762,"about_ca_system_score_gemma":0.0004417333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000323565,"about_ca_topic_score_gemma":8.271997e-7,"domain_scores_codex":[0.9982764,0.0005172549,0.0003026069,0.0002977238,0.0003962216,0.0002097558],"domain_scores_gemma":[0.9987744,0.000229191,0.0003095334,0.0004185716,0.0001770625,0.00009122219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001102935,0.000125809,0.001270663,0.00001514056,0.000002343188,1.863289e-8,0.01889495,5.63045e-7,0.02334708,0.9246053,0.00007685185,0.03166017],"study_design_scores_gemma":[0.0002153467,0.0000835578,0.925912,0.00002235734,0.000007755117,0.000003849857,0.001482049,0.0001571749,0.01025607,0.03465207,0.02694881,0.0002589693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4358904,0.0000772795,0.1396782,0.002018805,0.003725775,0.0001166577,9.204095e-7,0.000104923,0.418387],"genre_scores_gemma":[0.7747269,5.625405e-7,0.2221992,0.0002884339,0.0001985132,0.000006260295,8.788651e-7,0.000004150533,0.002575076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9246413,"threshold_uncertainty_score":0.3332151,"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."}}