{"id":"W2993486925","doi":"10.23977/aetp.2019.31009","title":"Study on the Cultural Item Arrangement of Textbook Learn Chinese with Me","year":2019,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinese as a foreign language; Chinese culture; Chinese language; Focus (optics); Linguistics; Mathematics education; Computer science; Foreign language; Cultural diversity; Content analysis; Psychology; Natural language processing; China; Sociology; Social science; History; Anthropology","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":[0.0002236159,0.0001325522,0.0001757905,0.0003884002,0.00007627875,0.000006438014,0.0007156862,0.0001252287,0.00007326518],"category_scores_gemma":[0.00007356873,0.00008070849,0.00001617672,0.0007839785,0.000395562,0.0002005521,0.00007491825,0.0003540243,0.00005164012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528249,"about_ca_system_score_gemma":0.00005989018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002076995,"about_ca_topic_score_gemma":0.0000241327,"domain_scores_codex":[0.9990355,0.0000714674,0.0002046992,0.0004013244,0.0001108375,0.0001761047],"domain_scores_gemma":[0.9987746,0.0004646777,0.0001245682,0.0005493556,0.00007005737,0.00001669555],"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":[0.00002098583,0.0003769929,0.4861704,0.000003497261,0.00001600308,8.207965e-7,0.0006174609,0.00001027616,0.0001082813,0.5100272,0.00007441482,0.002573648],"study_design_scores_gemma":[0.0006216508,0.000998266,0.6844384,0.00002377,0.00000416123,0.00008885963,0.002534283,0.00001342078,0.00009186471,0.3042796,0.006754586,0.0001511752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416842,0.001445193,0.0003464193,0.04839104,0.0004323994,0.0003705094,0.000001089144,0.00004312574,0.007286013],"genre_scores_gemma":[0.9965295,0.0001690738,0.001666025,0.0008433118,0.00002483751,0.0001604114,0.000002175612,0.000004600139,0.0006001195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057477,"threshold_uncertainty_score":0.3291197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085123446563443,"score_gpt":0.3813084526581275,"score_spread":0.360457218192493,"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."}}