{"id":"W1635457575","doi":"10.5539/elt.v8n10p107","title":"Intentional Vocabulary Learning Using Digital Flashcards","year":2015,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Vocabulary learning; Psychology; Vocabulary development; Set (abstract data type); Digital learning; Language acquisition; Value (mathematics); Teaching method; Mathematics education; Linguistics; Computer science; Pedagogy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002759,0.000208727,0.0002181169,0.0002084564,0.0001990622,0.0002339055,0.0002199962,0.0001379233,0.008448017],"category_scores_gemma":[0.001720962,0.0002120665,0.0001385148,0.0001389438,0.00004991446,0.0004846936,0.0001107674,0.001176116,0.0004227345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125743,"about_ca_system_score_gemma":0.0000429965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496601,"about_ca_topic_score_gemma":0.000001711261,"domain_scores_codex":[0.9981832,0.0004029783,0.0002834733,0.0003816762,0.0003256747,0.000423004],"domain_scores_gemma":[0.9991426,0.0001345375,0.0001238735,0.0002954003,0.00007569896,0.0002278609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001224338,0.000228071,0.00953027,0.000018218,0.000260758,0.00142871,0.8978598,0.001455083,0.001368432,0.005454182,0.004491735,0.07778235],"study_design_scores_gemma":[0.002377899,0.0001744792,0.0009438883,0.00009212842,0.00005853351,0.0004257121,0.9345315,0.002340218,0.00008728983,0.00007234827,0.05817338,0.0007226245],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835465,0.002590862,0.004115364,0.00002055017,0.001360238,0.00008647668,0.00000749219,0.000614498,0.1557395],"genre_scores_gemma":[0.9874735,1.943299e-7,0.0009882009,0.0007677902,0.001834641,0.00000759759,0.0001731386,0.00006034284,0.008694632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520085,"threshold_uncertainty_score":0.9924584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505020812605614,"score_gpt":0.3240887475927147,"score_spread":0.2990385394666585,"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."}}