{"id":"W4408534171","doi":"10.5430/wjel.v15n4p276","title":"Perceptions of Technology Integration in EFL Context: Spotting Users’ Distraction Ratio","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spotting; Distraction; Perception; Computer science; Context (archaeology); Psychology; Artificial intelligence; Cognitive psychology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004210133,0.0003240544,0.0003306138,0.0011062,0.0006554736,0.001883795,0.0003248686,0.0004041687,0.001433437],"category_scores_gemma":[0.01965054,0.0001861892,0.0002921862,0.0004583651,0.00061012,0.001427502,0.001253951,0.0006476732,0.0002282275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004444696,"about_ca_system_score_gemma":0.0002944884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000594331,"about_ca_topic_score_gemma":0.0007045681,"domain_scores_codex":[0.9955415,0.002492781,0.0003760995,0.0003070609,0.0009814411,0.0003010567],"domain_scores_gemma":[0.979436,0.01290855,0.003640899,0.0007804511,0.002509345,0.00072471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005465947,0.0005794853,0.6894378,0.0006191671,0.0001247739,0.0007005465,0.1658972,0.0003067253,0.02341879,0.0009369773,0.0004933487,0.1169384],"study_design_scores_gemma":[0.00002773229,0.002339375,0.7320827,0.0002335499,0.0001443038,0.001521798,0.239502,0.002840207,0.01186806,0.0008651122,0.008408081,0.0001671913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967211,0.00009585216,0.001540768,0.00007139804,0.000005942762,0.00001930614,0.00002006495,0.00001746098,0.001508124],"genre_scores_gemma":[0.9991733,0.00003614102,0.0005568087,0.00003084762,0.000003393453,0.00001876331,0.00001048293,0.000002652839,0.0001676301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004210133,"threshold_uncertainty_score":0.02226555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029931048182661,"score_gpt":0.2634191992664471,"score_spread":0.2531198887846205,"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."}}