{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365471,0.0002893294,0.0002469707,0.0008619923,0.00127715,0.002316262,0.0004770485,0.0004932139,0.003963932],"category_scores_gemma":[0.003771518,0.0001259824,0.0002258929,0.0003854804,0.0008893997,0.002054077,0.001751176,0.0006399113,0.000701155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187838,"about_ca_system_score_gemma":0.0009046282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009034477,"about_ca_topic_score_gemma":0.002766634,"domain_scores_codex":[0.9988676,0.0005312876,0.00007173279,0.00009072199,0.000242121,0.000196646],"domain_scores_gemma":[0.9980901,0.0009320986,0.0003463902,0.00007731434,0.0002085082,0.0003456953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002547565,0.003100918,0.1859217,0.002460754,0.00003585561,0.004634752,0.381834,0.0002517313,0.0417162,0.00514026,0.004631741,0.3700172],"study_design_scores_gemma":[0.00005516454,0.002485793,0.2163756,0.001662819,0.0001023441,0.004428816,0.6733983,0.0008127983,0.01353028,0.002999132,0.08400138,0.0001475997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851949,0.000296818,0.001656142,0.0003759482,0.00001712939,0.00009126354,0.00003809524,0.00002742359,0.01230235],"genre_scores_gemma":[0.9891692,0.0006028443,0.004660103,0.0001975941,0.00001023498,0.0001277131,0.00004240441,0.000009897687,0.005179999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003963932,"threshold_uncertainty_score":0.0132606,"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."}}