{"id":"W3048811739","doi":"10.5430/ijhe.v9n7p142","title":"The Use of Information Technologies for the Development of Competences in Future Teachers of Foreign Language and Foreign Literature","year":2020,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign language; Competence (human resources); Communicative competence; Mathematics education; Context (archaeology); Consistency (knowledge bases); Computer science; Process (computing); Cognition; Psychology; Knowledge management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003071812,0.0002129115,0.0002187688,0.004845584,0.001638254,0.006043917,0.0005124112,0.0009589603,0.002585765],"category_scores_gemma":[0.009644103,0.0002031579,0.0003678151,0.002251004,0.003545985,0.004510833,0.002252213,0.000796791,0.0005468493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591147,"about_ca_system_score_gemma":0.003919689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286808,"about_ca_topic_score_gemma":0.001820843,"domain_scores_codex":[0.9971534,0.00163088,0.000196797,0.0001428449,0.0006523311,0.0002236161],"domain_scores_gemma":[0.9926725,0.005282884,0.0005952338,0.0003490222,0.0006965973,0.000403637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008214455,0.000269216,0.02772398,0.00133073,0.00003195786,0.00250486,0.2114842,0.0004331323,0.007003157,0.1858766,0.004601566,0.5586584],"study_design_scores_gemma":[0.00003141572,0.0005272182,0.1352979,0.005109605,0.0001378156,0.007420799,0.2722521,0.001796386,0.008479762,0.0800067,0.4888074,0.0001328017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4792332,0.02645683,0.03131264,0.00982938,0.0003025668,0.0003249302,0.0001015403,0.0002299955,0.4522089],"genre_scores_gemma":[0.9681406,0.007045152,0.0150783,0.0002192741,0.00007235136,0.0001030008,0.00004380295,0.00002131539,0.009276181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006043917,"threshold_uncertainty_score":0.01624548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614158459134079,"score_gpt":0.3004101980906189,"score_spread":0.2742686134992781,"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."}}