{"id":"W2582864755","doi":"10.1109/fgcns.2008.163","title":"A System Assisting English Oral Reaction &amp;#150; A Case Study of the Junior Level of Taiwan English Qualify","year":2008,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); First language; Computer science; Test (biology); Tongue; Population; Center (category theory); English language; Mathematics education; Natural language processing; Multimedia; Psychology; Medicine; Environmental health; History; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009591897,0.000161593,0.0003725877,0.0001265467,0.0002210699,0.00004177947,0.0006483895,0.00008478022,0.000001849166],"category_scores_gemma":[0.0006606435,0.000112173,0.0001171522,0.0007404073,0.00005673553,0.0003291985,0.0001887963,0.0001514893,0.000003053748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009284588,"about_ca_system_score_gemma":0.0001621639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268341,"about_ca_topic_score_gemma":0.004577689,"domain_scores_codex":[0.9977207,0.0004592082,0.0006590059,0.0003534397,0.000563174,0.0002445366],"domain_scores_gemma":[0.9975668,0.0001663156,0.0004393253,0.001022168,0.0007164649,0.00008896316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001838697,0.005188618,0.1965411,0.001224127,0.0006360678,0.002107295,0.7297588,0.0003152659,0.01598347,0.0228515,0.01286222,0.01234769],"study_design_scores_gemma":[0.01658252,0.003049568,0.1629588,0.001109592,0.0003266736,0.01417277,0.76344,0.008763146,0.02166082,0.00009448163,0.005241024,0.002600714],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980613,0.00001581172,0.008448349,0.00001236026,0.001918598,0.0005438135,0.00001162696,0.0002042639,0.008232168],"genre_scores_gemma":[0.9966503,2.417253e-7,0.002757435,0.00001230271,0.0002107156,0.00002229975,0.000001108257,0.00000858783,0.0003369963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03368114,"threshold_uncertainty_score":0.9938912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437798378698406,"score_gpt":0.2970335108679316,"score_spread":0.153253672998091,"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."}}