{"id":"W2151698659","doi":"10.5539/ies.v7n12p37","title":"Language Competence in a Puzzle of Modern Russian Vocational Education","year":2014,"lang":"en","type":"article","venue":"International Education Studies","topic":"Innovations in Education and Learning Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education and Science of the Russian Federation","keywords":"Foreign language; Vocational education; Competence (human resources); Professional development; Pedagogy; Communicative competence; Professional communication; Professional studies; Psychology; Public relations; Political science; Computer science; Social psychology","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":[0.001470405,0.0001964083,0.0002344584,0.001089391,0.003085958,0.003430068,0.0003199278,0.0009154332,0.003220998],"category_scores_gemma":[0.003273927,0.0001861508,0.0001975141,0.0004935046,0.007697873,0.002543263,0.003201775,0.001962432,0.0003273505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003008047,"about_ca_system_score_gemma":0.003355569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008702383,"about_ca_topic_score_gemma":0.00576005,"domain_scores_codex":[0.9988708,0.0004355591,0.00007606852,0.0001318459,0.0002333558,0.000252351],"domain_scores_gemma":[0.9990051,0.0003987949,0.0001688058,0.00005037185,0.0001386635,0.0002383644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008157208,0.0001510926,0.0322172,0.0001674574,0.0000212992,0.002433847,0.159036,0.0006280831,0.001328933,0.7263632,0.004977199,0.07259408],"study_design_scores_gemma":[0.00005891329,0.0002085547,0.1453427,0.0008566658,0.00004295585,0.004801944,0.1544991,0.002264473,0.000863239,0.4407176,0.2502348,0.0001090374],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.669252,0.005146545,0.002524576,0.03439522,0.0002892437,0.00002722798,0.00003882364,0.00003260336,0.2882938],"genre_scores_gemma":[0.9946696,0.000494981,0.0002914221,0.0004842805,0.00003517805,0.000005352579,0.000008630221,0.000004987563,0.004005476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008702383,"threshold_uncertainty_score":0.02182508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272902116051811,"score_gpt":0.373394832616562,"score_spread":0.3461046210113809,"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."}}