{"id":"W2987095563","doi":"10.5539/elt.v12n12p46","title":"Multimedia Glosses for Enhancing EFL Students’ Vocabulary Acquisition and Retention","year":2019,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Psychology; Reading (process); Significant difference; Test (biology); Vocabulary development; Vocabulary learning; Mathematics education; Multimedia; Teaching method; Linguistics; Computer science; Medicine","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":[0.0002618868,0.000278763,0.0003804931,0.0003950107,0.0001653227,0.0003220485,0.0002278586,0.0002753201,0.002861677],"category_scores_gemma":[0.0009861708,0.00008176183,0.0002075709,0.0001591031,0.0001941302,0.0004440723,0.0003918731,0.0003238709,0.0002891851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008096293,"about_ca_system_score_gemma":0.0001491771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003174767,"about_ca_topic_score_gemma":0.0008771594,"domain_scores_codex":[0.9998758,0.00002535685,0.00001406708,0.00001936928,0.00004624928,0.00001913077],"domain_scores_gemma":[0.9996313,0.0001342434,0.00008394449,0.00002250162,0.00003348418,0.00009452816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008947575,0.0134494,0.01723553,0.002367277,0.0001535637,0.0008055256,0.001369968,0.0003677427,0.4901138,0.0003786144,0.0007541871,0.4640569],"study_design_scores_gemma":[0.002259423,0.1477386,0.49155,0.000806181,0.001318021,0.002432347,0.003724018,0.003631941,0.3292796,0.001255177,0.01587179,0.0001328999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983079,0.0007088929,0.0003079923,0.00003016571,0.00001351755,0.00003038575,0.00002752033,0.00002036156,0.0005531984],"genre_scores_gemma":[0.9944533,0.001262349,0.002773771,0.00005188483,0.00002661664,0.00004666628,0.00006508008,0.000008242328,0.001312142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002861677,"threshold_uncertainty_score":0.009573281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008544651985827883,"score_gpt":0.3076516649715207,"score_spread":0.2991070129856928,"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."}}