{"id":"W2114864538","doi":"10.1080/09588220802393608","title":"Interfaces in Intelligent CALL","year":2008,"lang":"en","type":"article","venue":"Computer Assisted Language Learning","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Natural language processing; Human–computer interaction; Multimedia; World Wide Web; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003969143,0.0008701054,0.0009147635,0.002025807,0.002607443,0.01440593,0.001277205,0.004933943,0.04491119],"category_scores_gemma":[0.009428795,0.0006403243,0.0006778648,0.002118346,0.002506522,0.01381553,0.003376258,0.005307354,0.01260813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243157,"about_ca_system_score_gemma":0.001830066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314788,"about_ca_topic_score_gemma":0.002168295,"domain_scores_codex":[0.9961159,0.001011585,0.0003120567,0.0005633478,0.00164341,0.0003536478],"domain_scores_gemma":[0.9944306,0.00251446,0.0002173639,0.0005100174,0.001589951,0.0007375986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006474418,0.00005686729,0.0002682349,0.0004173127,0.00002012232,0.00007888227,0.0008050018,0.0002111056,0.0005485702,0.08573123,0.7566152,0.1551827],"study_design_scores_gemma":[0.000005037545,0.00001786132,0.000223251,0.0001869186,0.00001103138,0.0001397152,0.0002537413,0.0002711828,0.0001856342,0.0149098,0.9837827,0.00001297054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003836069,0.2184735,0.03873278,0.1599706,0.2117111,0.00011699,0.000416237,0.001571824,0.3651709],"genre_scores_gemma":[0.07997889,0.1415157,0.01936607,0.04079562,0.172925,0.0002682752,0.001295875,0.001770491,0.5420839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04491119,"threshold_uncertainty_score":0.1502429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236651532776124,"score_gpt":0.2411064487752964,"score_spread":0.2087399334475352,"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."}}