{"id":"W2115746875","doi":"10.1080/0958822042000334244","title":"Application of a CALL System in the Acquisition of Adverbs in English","year":2004,"lang":"en","type":"article","venue":"Computer Assisted Language Learning","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Grammar; Intuition; Sentence; Computer science; Significant difference; Mathematics education; Computer-Assisted Instruction; Task (project management); Teaching method; Focus on form; Psychology; Linguistics; Natural language processing; Mathematics","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":[0.0006046669,0.00008544204,0.0001812445,0.00015735,0.00007165292,0.00003621775,0.0001655859,0.00004255614,0.0000132835],"category_scores_gemma":[0.00003192576,0.00006802024,0.00005271679,0.0000991253,0.00004838173,0.00008208678,0.00002867441,0.0003737652,0.000004168004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005801214,"about_ca_system_score_gemma":0.00001481103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599309,"about_ca_topic_score_gemma":0.0004565711,"domain_scores_codex":[0.999019,0.0002656123,0.0002968183,0.000140099,0.0001514422,0.0001270318],"domain_scores_gemma":[0.9994748,0.0001245693,0.0001829918,0.0001531,0.00005182208,0.00001276168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002571499,0.0001718026,0.009878565,0.0004135139,0.00001985466,0.00003095786,0.877477,0.04356048,0.0005580951,0.02705616,0.00002004443,0.04078778],"study_design_scores_gemma":[0.007400187,0.0009446629,0.2946317,0.005549263,0.0001143928,0.00005465252,0.5822502,0.08770107,0.0005510832,0.0001473567,0.0195948,0.001060614],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812595,0.0002612952,0.009720604,0.00003789739,0.000109656,0.0001651173,0.000001681198,0.0000906355,0.008353585],"genre_scores_gemma":[0.9990627,7.469741e-7,0.0005270251,0.00004555459,0.0002621539,0.00001233559,0.00002557667,0.00001068316,0.00005328023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952268,"threshold_uncertainty_score":0.2773785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000327371088161,"score_gpt":0.2264316453959062,"score_spread":0.2164283716850245,"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."}}