{"id":"W4387242294","doi":"10.5539/elt.v16n10p125","title":"Using TikTok as a Tool for English Vocabulary Learning in the EFL Context","year":2023,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Psychology; Context (archaeology); Perception; Mathematics education; Vocabulary development; Vocabulary learning; Teaching method; Pedagogy; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003884787,0.0001339084,0.0001951312,0.0002174514,0.001171685,0.0001484492,0.0004311142,0.0001372576,0.00003452729],"category_scores_gemma":[0.02135563,0.0001191014,0.00007931706,0.0005856848,0.0001524386,0.0002909182,0.00009152747,0.0007645403,0.00002538553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027294,"about_ca_system_score_gemma":0.0001526319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684566,"about_ca_topic_score_gemma":0.001012084,"domain_scores_codex":[0.9981716,0.000503633,0.0002305878,0.0002866451,0.0002935103,0.0005140528],"domain_scores_gemma":[0.9982149,0.001341626,0.0001028906,0.000226152,0.00008244588,0.00003199076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005127818,0.00001878045,0.002396726,0.00001049822,0.00001453234,0.00001024356,0.9552264,0.00007602625,0.0002656356,0.008642066,0.00215364,0.03118037],"study_design_scores_gemma":[0.0002501109,0.00002104853,0.0005295092,0.00004575394,0.00001271304,6.282582e-7,0.8977835,0.00009516656,0.0001070221,0.0004263717,0.1005695,0.0001587461],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793847,0.0004783618,0.0003166151,0.0006289355,0.000924969,0.0005368136,0.000003744656,0.001906438,0.01581948],"genre_scores_gemma":[0.9946827,0.00002034152,0.0007859003,0.0003601309,0.001216902,0.0001412893,0.00001253163,0.00002527475,0.002754941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09841585,"threshold_uncertainty_score":0.9868879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443590195065713,"score_gpt":0.3721199094899229,"score_spread":0.3376840075392657,"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."}}