{"id":"W2382433494","doi":"","title":"The Interactive Learning Platform WebCT with MSN-based Training in English Listening and Speaking","year":2009,"lang":"en","type":"article","venue":"Computer Knowledge and Technology","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active listening; Computer science; Multimedia; Virtual learning environment; Human–computer interaction; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006625935,0.0004673274,0.0002765808,0.0006634273,0.0003864407,0.000782486,0.0009842968,0.0006443286,0.05735571],"category_scores_gemma":[0.001203411,0.0002226517,0.0003482025,0.0005308246,0.0003385539,0.001116484,0.001171681,0.0005658775,0.01532815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092602,"about_ca_system_score_gemma":0.001870958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005781389,"about_ca_topic_score_gemma":0.0123184,"domain_scores_codex":[0.9996847,0.00004589915,0.00002252879,0.00004758658,0.0001483914,0.0000509966],"domain_scores_gemma":[0.9994469,0.0001404037,0.00002014994,0.00006326872,0.0001661801,0.000163038],"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":[0.000706256,0.0005061377,0.002167374,0.0005323814,0.00001809338,0.000726998,0.0008716378,0.001965238,0.05284257,0.01450064,0.09116349,0.8339992],"study_design_scores_gemma":[0.0004485279,0.000959795,0.02374567,0.0004187747,0.00009429465,0.003405233,0.0003907443,0.03671341,0.1027015,0.009188994,0.8217025,0.0002305983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03744657,0.0005922683,0.633705,0.000970632,0.0003701132,0.001749511,0.002990143,0.04804001,0.2741357],"genre_scores_gemma":[0.1915466,0.0006159194,0.520403,0.0009311345,0.0001909516,0.002063043,0.003893532,0.003595205,0.2767607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05735571,"threshold_uncertainty_score":0.191874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640945271700565,"score_gpt":0.2911556287754302,"score_spread":0.2747461760584245,"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."}}