{"id":"W4401977138","doi":"10.26522/brocked.v33i3.1177","title":"AI and Education in China: Imagining the Future, Excavating the Past","year":2024,"lang":"en","type":"article","venue":"Brock Education Journal","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Sociology; Psychology; Aesthetics; History; Art; Archaeology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003351506,0.00007270998,0.00005278795,0.0001223926,0.0003497483,0.001086955,0.0003410462,0.00002031582,0.000007262643],"category_scores_gemma":[0.00006610702,0.00004112774,0.00002903354,0.0004241392,0.00002009872,0.0004260289,0.00005453754,0.0006019255,0.00001033912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004005912,"about_ca_system_score_gemma":0.001331553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001339103,"about_ca_topic_score_gemma":0.000005496974,"domain_scores_codex":[0.9993032,0.0001028425,0.0001842214,0.0001348105,0.0001469718,0.0001279127],"domain_scores_gemma":[0.9995717,0.0000672022,0.00007220959,0.0001557447,0.0000740766,0.00005900301],"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":[5.799757e-7,0.00004805944,0.008811862,0.00001560125,0.000006921799,8.283265e-7,0.004142073,0.0001715826,0.00003533697,0.01418901,0.04446179,0.9281163],"study_design_scores_gemma":[0.0001852453,0.00005810727,0.3302675,0.0006844281,0.00003354513,0.002498734,0.01524194,0.1504683,0.00001627899,0.08928762,0.4109133,0.0003449816],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1971849,0.01969758,0.05036849,0.7209384,0.009129077,0.0001614644,4.422958e-7,0.0001019849,0.002417654],"genre_scores_gemma":[0.9848582,0.0002592672,0.004450058,0.002681775,0.004481091,0.000006264957,0.000001325694,0.000009448239,0.003252545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9277714,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004673963074740107,"score_gpt":0.2893021233731391,"score_spread":0.284628160298399,"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."}}