{"id":"W2090373925","doi":"10.1145/2207676.2208598","title":"Evaluating the implicit acquisition of second language vocabulary using a live wallpaper","year":2012,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada); University of Toronto","funders":"","keywords":"Vocabulary; Computer science; Wallpaper; Vocabulary learning; Recall; Language acquisition; Process (computing); Natural language processing; Linguistics; Psychology; Cognitive psychology; Mathematics education; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492679,0.00006920787,0.00009673063,0.00003373225,0.0000713272,0.00003946331,0.0003005615,0.00003559803,0.0002420396],"category_scores_gemma":[0.0000279388,0.00004367199,0.00004995685,0.0001381321,0.0000175099,0.0003761786,0.000136434,0.00004837719,0.0000811291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002365109,"about_ca_system_score_gemma":0.00003443875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212386,"about_ca_topic_score_gemma":0.00002039124,"domain_scores_codex":[0.99919,0.0001046827,0.0001642624,0.0001164468,0.00020559,0.0002189847],"domain_scores_gemma":[0.9993429,0.0001093898,0.00008451713,0.0003638565,0.00004825369,0.00005110904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001181359,0.00007443273,0.004393321,0.0000471603,0.00004404625,0.000002961506,0.02171455,0.00008449497,0.9412748,0.01660388,0.0004775434,0.015271],"study_design_scores_gemma":[0.00282576,0.0009824804,0.1820318,0.0002790214,0.000130684,0.0007869594,0.01203085,0.3967021,0.3969369,0.005174273,0.0006268139,0.001492337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596922,0.0005500443,0.03261326,0.00006028081,0.0002956817,0.0001575684,0.000001684923,0.0000438163,0.006585452],"genre_scores_gemma":[0.98289,3.98336e-7,0.01636108,0.0003701017,0.0001988449,0.00000486841,0.000001451411,0.00000447977,0.0001688286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5443379,"threshold_uncertainty_score":0.2650163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04703780174827651,"score_gpt":0.3316468275054616,"score_spread":0.2846090257571851,"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."}}