{"id":"W3150333837","doi":"10.23977/aetp.2021.51007","title":"Research on Teaching Model of English Phonetics Based on Big Data Environment","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Phonetics; Big data; Computer science; College English; Mathematics education; Linguistics; Artificial intelligence; Psychology","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":[0.000769329,0.000115954,0.0001657021,0.000947804,0.0001395067,0.000007378885,0.001222385,0.0003089867,0.00002874559],"category_scores_gemma":[0.0008196903,0.0001110394,0.00001446168,0.0006420646,0.000615357,0.0001456809,0.0002976914,0.001039365,0.00001913115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000348604,"about_ca_system_score_gemma":0.0003268676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001125891,"about_ca_topic_score_gemma":0.000007650336,"domain_scores_codex":[0.9983322,0.0001882166,0.0002580653,0.0007514375,0.0002006709,0.0002693914],"domain_scores_gemma":[0.9972893,0.0009692986,0.00008054092,0.001496574,0.0001299415,0.00003437274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002039486,0.0009875371,0.006379598,0.00001111471,0.000006687036,0.00000246537,0.0001873378,0.002642225,0.0001992847,0.9095535,0.0008016696,0.07920821],"study_design_scores_gemma":[0.0005063726,0.0003042443,0.006972823,0.00005722012,0.000003271569,0.00001489533,0.0003134052,0.01012975,0.001056798,0.9080255,0.07242662,0.0001890849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2444678,0.01411226,0.3199902,0.3363403,0.008828975,0.0006668722,0.0001371559,0.000307781,0.07514866],"genre_scores_gemma":[0.9384475,0.001395412,0.05835452,0.001303321,0.0001277486,0.0000578344,0.00004533088,0.000007300103,0.0002609786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6939798,"threshold_uncertainty_score":0.4528057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313631021597352,"score_gpt":0.4508566261735809,"score_spread":0.3194935240138457,"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."}}