{"id":"W2884672695","doi":"10.1186/s41239-018-0119-9","title":"Profiling the digital readiness of higher education students for transformative online learning in the post-soviet nations of Georgia and Ukraine","year":2018,"lang":"en","type":"article","venue":"International Journal of Educational Technology in Higher Education","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"University of Ontario Institute of Technology","keywords":"Transformative learning; Ukrainian; Higher education; Profiling (computer programming); Georgian; Social media; Mathematics education; Computer science; Psychology; Multimedia; Pedagogy; Political science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061312,0.0001343735,0.0001847934,0.001345379,0.00009768146,0.00007973954,0.001301404,0.0001060957,0.00004781544],"category_scores_gemma":[0.0002884942,0.00009785569,0.00005793413,0.001166971,0.000278756,0.0006990087,0.00006813741,0.0003054936,0.000001129449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467226,"about_ca_system_score_gemma":0.001515047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002014852,"about_ca_topic_score_gemma":0.00001957023,"domain_scores_codex":[0.9982688,0.00007007034,0.0008665168,0.0001833033,0.0004781938,0.0001330821],"domain_scores_gemma":[0.9952127,0.0007853921,0.0007865303,0.0002076487,0.002983781,0.00002393884],"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":[0.00003598295,0.00212667,0.05455108,0.00003144602,0.00007219067,1.19545e-7,0.003245844,0.00003449162,0.0005235181,0.9313847,0.0003555235,0.007638437],"study_design_scores_gemma":[0.0006691353,0.0003549836,0.792599,0.000349251,0.00002295157,0.00008274055,0.009100252,0.00008389369,0.0005616267,0.1905164,0.005491151,0.0001686153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7540818,0.0008542718,0.0001540614,0.2419953,0.001862284,0.0003194038,0.00002023492,0.000006288376,0.0007062932],"genre_scores_gemma":[0.9934466,0.00008603081,0.004575904,0.0003773702,0.000539573,0.0001211048,0.00008297835,0.000008783335,0.0007616695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7408683,"threshold_uncertainty_score":0.3990439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721092555023426,"score_gpt":0.3749044796385586,"score_spread":0.3476935540883243,"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."}}