{"id":"W4400485142","doi":"10.61091/jcmcc120-24","title":"Enhancing English Pronunciation Assessment in Computer-Assisted Language Learning for College Students","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Computer science; Natural language processing; Mathematics education; Language assessment; College English; English language; Psychology; 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":[0.005598135,0.0002303585,0.0005673413,0.0004057076,0.0002159183,0.0008043027,0.0006319814,0.0001269897,0.00000165155],"category_scores_gemma":[0.0005864666,0.0002137249,0.000150476,0.0005655431,0.00002219255,0.0004479406,0.0002434725,0.0007392379,7.215043e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884628,"about_ca_system_score_gemma":0.0003793785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006195984,"about_ca_topic_score_gemma":8.541946e-7,"domain_scores_codex":[0.9972549,0.0003466926,0.001089539,0.0002976653,0.0007034824,0.0003077015],"domain_scores_gemma":[0.9968891,0.001782462,0.0005616392,0.0001909881,0.0004395406,0.0001362928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002170233,0.0009811276,0.0009984457,0.0006459485,0.0001288083,0.00004937814,0.0317598,0.0002438565,0.000806548,0.9470165,0.0001069548,0.01724091],"study_design_scores_gemma":[0.01247964,0.003287288,0.006691118,0.004301517,0.0001925362,0.0001954821,0.004742874,0.5581917,0.002015039,0.4029667,0.003668057,0.00126803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4400881,0.0002106034,0.5359557,0.0001116899,0.02308191,0.0003405601,7.263131e-7,0.00009575529,0.0001149304],"genre_scores_gemma":[0.8347626,0.00000730577,0.1635973,0.00001486342,0.001576253,0.000006594552,0.000001410619,0.00002268951,0.0000110134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5579479,"threshold_uncertainty_score":0.8715447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585080540296363,"score_gpt":0.3428560494567215,"score_spread":0.3270052440537579,"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."}}