{"id":"W4385762426","doi":"10.23977/jaip.2023.060506","title":"Optimization and Evaluation of Spoken English CAF Based on Artificial Intelligence and Corpus","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Hidden Markov model; Artificial intelligence; Convolutional neural network; Pronunciation; Speech recognition; Fluency; Natural language processing; Linguistics","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":[0.005016498,0.000129502,0.0002085955,0.0005464792,0.0001431152,0.0001196609,0.0003883849,0.0001342614,0.00003821854],"category_scores_gemma":[0.007806069,0.0001238993,0.00004627538,0.0009192321,0.0001806557,0.001017317,0.00007895374,0.0003635608,0.00001454566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331104,"about_ca_system_score_gemma":0.0004168192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002163127,"about_ca_topic_score_gemma":0.000009947719,"domain_scores_codex":[0.9977038,0.0003695232,0.00076014,0.0002561126,0.0007303823,0.0001800631],"domain_scores_gemma":[0.9947915,0.002091576,0.0008180257,0.0002604187,0.001948792,0.00008966217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002226102,0.0003268012,0.000156539,0.00002033694,0.00003644882,0.00001661911,0.003158408,0.3968073,0.0006323127,0.1498577,0.0000737914,0.4486912],"study_design_scores_gemma":[0.00003197591,0.0005422323,0.0002830364,0.00006353596,0.00007977426,0.00005896582,0.002789289,0.9094929,0.02349,0.06270218,0.0003294136,0.0001367274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057886,0.0002985887,0.8814704,0.009922867,0.001626532,0.0002612735,0.000003432862,0.00006078032,0.0005675737],"genre_scores_gemma":[0.9577795,0.0003586544,0.04138622,0.0002151795,0.0002358446,0.000005810398,0.000002153298,0.000008268374,0.000008340426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519909,"threshold_uncertainty_score":0.9345158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445020882038076,"score_gpt":0.4035554823398909,"score_spread":0.2590533941360832,"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."}}