{"id":"W2991501630","doi":"10.5539/ells.v9n4p39","title":"A Research Review of College English Audio-Visual Speaking Teaching in China in Multi-Modality Symbol Framework","year":2019,"lang":"en","type":"review","venue":"English Language and Literature Studies","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modality (human–computer interaction); Symbol (formal); Audio visual; Modal; Modal verb; College English; Construct (python library); Computer science; China; Modalities; Mathematics education; Multimedia; Psychology; Artificial intelligence; Sociology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00253234,0.0005505682,0.002838764,0.0006265249,0.0001866163,0.0001689816,0.0003245581,0.0003202932,0.0001194737],"category_scores_gemma":[0.004832526,0.0003892244,0.0003284737,0.0004599949,0.0002802681,0.0002645939,0.0003785123,0.002951011,0.000004504583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009620682,"about_ca_system_score_gemma":0.00007988593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006828666,"about_ca_topic_score_gemma":0.0004182201,"domain_scores_codex":[0.9961136,0.001198707,0.001019698,0.0006651418,0.0004419351,0.0005608973],"domain_scores_gemma":[0.9975273,0.00140795,0.0003279599,0.0004161599,0.0002520586,0.00006855666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009000935,0.00015514,0.00002358723,0.1690555,0.0001870331,0.0001995016,0.7233258,4.415722e-8,5.708803e-8,0.01025587,0.001072614,0.0957159],"study_design_scores_gemma":[0.0002114177,0.00006139772,0.000009853964,0.3315986,0.0001127061,0.000001718498,0.1291535,6.854045e-7,1.25508e-7,0.00004160322,0.5385062,0.0003021189],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001540598,0.9894181,2.219303e-7,0.00003273337,0.001562523,0.001247216,0.0003402253,0.00004221279,0.005816119],"genre_scores_gemma":[0.005713779,0.9900715,0.00006887874,0.00006018794,0.002622472,0.0001415675,0.0001356797,0.00006171444,0.001124161],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5941722,"threshold_uncertainty_score":0.999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062560573245593,"score_gpt":0.4296704333863975,"score_spread":0.3234143760618382,"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."}}