{"id":"W1548542438","doi":"10.20360/g2359j","title":"University Students as Digital Migrants","year":2012,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Sociology; Digital divide; ICTS; The Internet; Position (finance); Global South; Media studies; Information and Communications Technology; Literacy; Relation (database); Pedagogy; Public relations; Political science; Geography; World Wide Web; Computer science; Business","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":[0.002691948,0.0004716352,0.0004435059,0.001783256,0.01121066,0.0149673,0.00107748,0.002900201,0.00850473],"category_scores_gemma":[0.006209688,0.0004489888,0.0004036123,0.001749652,0.008750656,0.007832391,0.01396034,0.003314878,0.001262644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002538192,"about_ca_system_score_gemma":0.003517345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955184,"about_ca_topic_score_gemma":0.005808628,"domain_scores_codex":[0.9960891,0.002194314,0.0001011666,0.0002014574,0.0003181071,0.001095814],"domain_scores_gemma":[0.9958521,0.0009021767,0.0007782156,0.0001898817,0.0003410708,0.001936564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004378524,0.0001775961,0.03100543,0.00007736684,0.000006862233,0.00129566,0.9341966,0.00002288963,0.0004656052,0.01563718,0.002160608,0.01491041],"study_design_scores_gemma":[0.000008266257,0.00008918819,0.005688161,0.000110571,0.00000854063,0.0005828338,0.9546304,0.00003008659,0.0001539716,0.001176226,0.03750732,0.00001429667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97022,0.001523618,0.00017423,0.005843058,0.0001479684,0.00003764809,0.00002508325,0.0000192126,0.02200922],"genre_scores_gemma":[0.9888873,0.001156101,0.0001030863,0.001188224,0.00004894253,0.00003544718,0.00001638538,0.000009724028,0.008554906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149673,"threshold_uncertainty_score":0.02845114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00711198461222408,"score_gpt":0.3191368208631102,"score_spread":0.3120248362508861,"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."}}