{"id":"W1495273149","doi":"","title":"Digital Learners in Higher Education: Looking Beyond Stereotypes","year":2011,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Digital literacy in education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; British Columbia Institute of Technology","funders":"","keywords":"Higher education; Computer science; Psychology; Pedagogy; Mathematics education; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009802457,0.0002179033,0.0002096052,0.001254759,0.00006419034,0.0002091917,0.0007864022,0.0001244075,0.0005294811],"category_scores_gemma":[0.0001745156,0.0002172011,0.00002474864,0.0012506,0.0002855049,0.001092201,0.0001630864,0.000353781,0.0001824807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000909176,"about_ca_system_score_gemma":0.0008274032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000943269,"about_ca_topic_score_gemma":0.0000351917,"domain_scores_codex":[0.9984899,0.00002469082,0.0003307334,0.0005661602,0.000248146,0.0003403606],"domain_scores_gemma":[0.9987772,0.0002533785,0.0001361401,0.0005032523,0.0001810665,0.0001489331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004399972,0.0003856298,0.02884821,0.000008523415,0.000007223266,0.000002259543,0.001244939,8.264275e-8,0.00001765869,0.9137886,0.000905257,0.05478724],"study_design_scores_gemma":[0.000156584,0.00005758855,0.03874542,0.00008673858,0.000003614883,0.00001645278,0.000124539,0.00002480429,0.0002736971,0.9573504,0.00291271,0.0002474033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04298688,0.0006962896,0.0001414235,0.540071,0.01012485,0.0004419441,0.00001219762,0.0003411531,0.4051842],"genre_scores_gemma":[0.9855381,0.00002341938,0.003769851,0.0006092204,0.0002962019,0.0001741577,0.00003786423,0.00001343432,0.009537741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9425512,"threshold_uncertainty_score":0.8857202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595033085163404,"score_gpt":0.2584828200642706,"score_spread":0.2225324892126366,"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."}}