{"id":"W2979313613","doi":"10.29173/iasl7194","title":"Evaluation of Digital Contents in Education: Examples of English and Health Education Applications in Japan","year":2016,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Order (exchange); Computer science; Digital learning; Government (linguistics); Mathematics education; Multimedia; Unit (ring theory); Medical education; Psychology; Medicine; Business","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":[0.0009466535,0.00009443598,0.0001742001,0.0002719261,0.00003497585,0.00009671534,0.0003092068,0.00004278744,0.000011849],"category_scores_gemma":[0.0006509276,0.00008014953,0.00001563659,0.0004503275,0.00006743136,0.001502226,0.0000808508,0.00007565708,0.000002480609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177154,"about_ca_system_score_gemma":0.001585019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002079521,"about_ca_topic_score_gemma":0.00003907871,"domain_scores_codex":[0.9987957,0.00003008928,0.000394145,0.0002893218,0.0003425453,0.0001481611],"domain_scores_gemma":[0.9964648,0.00004736824,0.0002914661,0.0001077686,0.003009553,0.00007904891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003895107,0.000456196,0.3635554,0.00007369088,0.000004280182,3.560523e-9,0.1288802,7.749475e-7,0.0001388512,0.06068256,0.0002201243,0.445984],"study_design_scores_gemma":[0.0007071401,0.0001762545,0.6848789,0.0006016678,0.000008180384,0.000001835024,0.2984457,0.0003756211,0.0007504959,0.01186937,0.001964491,0.0002203368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925069,0.0001671387,0.0004478517,0.001303357,0.0001482538,0.000525823,0.000004594112,0.00001985172,0.004876198],"genre_scores_gemma":[0.9988838,0.00005195229,0.0006943409,0.00004268551,0.00003863657,0.000156993,0.000006157572,0.000004418083,0.0001210078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4457636,"threshold_uncertainty_score":0.3268403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06315726146896863,"score_gpt":0.3341786211674239,"score_spread":0.2710213596984552,"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."}}