{"id":"W2953825731","doi":"10.5539/ass.v15n7p153","title":"Mind Maps Aid EFL Students’ Vocabulary Building","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memorization; Vocabulary; Recall; Psychology; Mind map; Mathematics education; Learning to learn; Cognitive psychology; Computer science; 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":[0.000533951,0.0005150815,0.0003130256,0.0008259923,0.0003810982,0.001537691,0.0005931737,0.0004743247,0.01087633],"category_scores_gemma":[0.00343417,0.0001591859,0.0004135265,0.0002885927,0.0003717195,0.001429822,0.001455467,0.0007830029,0.002585421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243556,"about_ca_system_score_gemma":0.0005388167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008482529,"about_ca_topic_score_gemma":0.001344261,"domain_scores_codex":[0.9997458,0.00006464576,0.00001621345,0.00004874165,0.0000804653,0.00004421763],"domain_scores_gemma":[0.9989746,0.0004215732,0.0001056309,0.00009399848,0.0002046508,0.0001996437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003529259,0.005460402,0.02903464,0.001204186,0.00004942545,0.001247618,0.01068813,0.000719218,0.03712157,0.003257359,0.01787234,0.8929922],"study_design_scores_gemma":[0.0006061897,0.009776779,0.4095787,0.002538494,0.0006723581,0.005457985,0.06430032,0.01495829,0.1084007,0.06609721,0.3171965,0.0004163387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393821,0.001267946,0.01295627,0.001240304,0.0001855082,0.0002734218,0.0002705305,0.001036608,0.04338726],"genre_scores_gemma":[0.9533239,0.0009978003,0.02529286,0.0002053214,0.00002165139,0.0001494809,0.0002273767,0.00005249953,0.01972899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087633,"threshold_uncertainty_score":0.03638494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007514969690625695,"score_gpt":0.2760370808468079,"score_spread":0.2685221111561822,"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."}}