{"id":"W2910627456","doi":"10.21686/1818-4243-2018-6-65-72","title":"The overview of open education development tendencies in Russia and Canada","year":2019,"lang":"en","type":"article","venue":"Open Education","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open education; Government (linguistics); Open educational resources; Political science; Higher education; Resource (disambiguation); Public administration; Public relations; Open data; Open government; Economic growth; Sociology; Pedagogy; Economics; Computer science; Law","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":[0.0004257878,0.00006258787,0.00008571499,0.00005016863,0.0001229504,0.0003474669,0.001261068,0.00001830192,0.00002615685],"category_scores_gemma":[0.00001646599,0.0000482859,0.000004566827,0.0002894649,0.00001435033,0.0006793351,0.000412813,0.00005038641,0.00000549642],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676998,"about_ca_system_score_gemma":0.01195066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2523268,"about_ca_topic_score_gemma":0.3870335,"domain_scores_codex":[0.9993137,0.00003882998,0.0002303206,0.0001854931,0.0001399084,0.00009171142],"domain_scores_gemma":[0.999248,0.0000743714,0.0001330077,0.0003373275,0.0001792468,0.00002803289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002227402,0.0002129321,0.01750279,0.00004158054,0.000007903501,2.504726e-8,0.002398443,0.000002959303,0.00005644262,0.7362962,0.01009744,0.233381],"study_design_scores_gemma":[0.00008987723,0.00001239414,0.8197541,0.0001377964,0.000001380205,0.000002942079,0.008795825,0.00004422743,0.000361858,0.006052603,0.1646302,0.0001168199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464291,0.001972882,0.00003879463,0.02851883,0.001163624,0.0007760648,8.400785e-7,0.000003471989,0.02109639],"genre_scores_gemma":[0.9871138,0.0002349058,0.007263112,0.0005258119,0.00001997834,0.000181089,0.00001229033,0.000003690417,0.004645325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8022513,"threshold_uncertainty_score":0.9936507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190263312908021,"score_gpt":0.3479762164361915,"score_spread":0.2960735833071113,"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."}}