{"id":"W4405977942","doi":"10.54692/jelle.2024.0604262","title":"Enhancing English Language Acquisition through ChatGPT: Use of Technology Acceptance Model in Linguistics","year":2024,"lang":"en","type":"article","venue":"Journal of English Language Literature and Education","topic":"Social and Behavioral Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Applied linguistics; Language technology; Computer science; Psychology; Sociology; Comprehension approach; Language education; Philosophy","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":[0.004953889,0.0004632743,0.0004349762,0.00146741,0.0009507947,0.002983486,0.0006807149,0.0007847112,0.002118901],"category_scores_gemma":[0.01373169,0.0002932026,0.001041609,0.0009776815,0.001233181,0.00292335,0.001569308,0.001503557,0.0002593788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469387,"about_ca_system_score_gemma":0.001729255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335382,"about_ca_topic_score_gemma":0.003660596,"domain_scores_codex":[0.9962031,0.002238282,0.0002043935,0.0002782109,0.0008083328,0.0002676327],"domain_scores_gemma":[0.9837346,0.01191056,0.00140977,0.0004878431,0.001683279,0.0007738799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003055309,0.002064195,0.7610434,0.000491701,0.000230602,0.0007880768,0.0605495,0.00340316,0.002596367,0.01351848,0.001099438,0.1539096],"study_design_scores_gemma":[0.0001237899,0.00444656,0.7123067,0.001201892,0.0006403298,0.001413044,0.1313578,0.1176752,0.004241219,0.01838472,0.007968021,0.0002405838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983195,0.0001871532,0.006362238,0.0005831496,0.00001481923,0.0001810973,0.00003863992,0.00002831822,0.009409685],"genre_scores_gemma":[0.9970381,0.0001329218,0.00224769,0.00004196852,0.000004179049,0.0001251759,0.00002495542,0.000004193477,0.0003808544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004953889,"threshold_uncertainty_score":0.02619898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151510541874824,"score_gpt":0.3323766949448614,"score_spread":0.317225640757379,"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."}}