{"id":"W2591620141","doi":"10.21226/t2kg6q","title":"Technologically Enhanced Language Learning and Instruction: Подорожі.UA: Beginners’ Ukrainian","year":2017,"lang":"en","type":"article","venue":"East/West Journal of Ukrainian Studies","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ukrainian; Blended learning; Component (thermodynamics); Class (philosophy); Computer science; Mathematics education; Face (sociological concept); Experiential learning; Foreign language; Language acquisition; Everyday life; Pedagogy; Educational technology; Psychology; Sociology; Linguistics; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006622252,0.0001912004,0.0001753067,0.0003149306,0.0008563029,0.001608074,0.0004177862,0.0003639777,0.002498479],"category_scores_gemma":[0.000481748,0.00009619878,0.0001547011,0.000352035,0.0006592762,0.0009818784,0.001792623,0.0005147539,0.0008227991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502815,"about_ca_system_score_gemma":0.002139712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002962623,"about_ca_topic_score_gemma":0.006068363,"domain_scores_codex":[0.999656,0.0001191597,0.00001638671,0.0000540673,0.0001010968,0.00005333063],"domain_scores_gemma":[0.999779,0.00003108095,0.00002405337,0.00003616928,0.00004684591,0.00008282744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002796014,0.00114293,0.04416701,0.0007260259,0.00003138833,0.002431447,0.05955894,0.002357957,0.03274365,0.05952236,0.005383799,0.7916549],"study_design_scores_gemma":[0.00007872263,0.002461975,0.1701679,0.0004826588,0.00006575295,0.004140178,0.0418633,0.003124216,0.07323693,0.007867299,0.6964251,0.00008597404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9203706,0.0009955425,0.01605942,0.0007903153,0.0000744066,0.0002143524,0.0001167116,0.0002326813,0.06114613],"genre_scores_gemma":[0.9656044,0.0005919676,0.01496512,0.00009146333,0.000007905945,0.00008943077,0.0001366328,0.00002838917,0.01848469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002962623,"threshold_uncertainty_score":0.01090372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309995427800888,"score_gpt":0.3467489350340889,"score_spread":0.30364898075608,"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."}}