{"id":"W4405692359","doi":"10.14742/apubs.2018.1939","title":"From digital natives to digital literacy","year":2018,"lang":"en","type":"article","venue":"ASCILITE Publications","topic":"Digital literacy in education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digital native; Digital literacy; Literacy; Computer science; Sociology; World Wide Web; Pedagogy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001025044,0.0001734243,0.0001280569,0.0003312845,0.0001875466,0.007392638,0.001622838,0.00004334996,0.00008962021],"category_scores_gemma":[0.001058294,0.0001725741,0.00007233912,0.001759043,0.0001240568,0.01551331,0.0004832986,0.00008538086,0.004137857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009530799,"about_ca_system_score_gemma":0.000160844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001802187,"about_ca_topic_score_gemma":0.000002554913,"domain_scores_codex":[0.9982279,0.00001886154,0.0003547586,0.0006857723,0.0003694334,0.0003432758],"domain_scores_gemma":[0.9969636,0.0003104252,0.00009604324,0.001408261,0.0009025839,0.0003190693],"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":[0.000004797696,0.0005141712,0.006543871,0.000003192284,0.00004023107,5.260126e-7,0.01977219,0.000001512264,0.0001066864,0.2004174,0.03956485,0.7330306],"study_design_scores_gemma":[0.000096713,0.00007043771,0.03315338,0.000015049,0.000002119014,0.000004342546,0.0001085406,0.0009526446,0.0001905349,0.04954593,0.9156019,0.0002583737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.17651,0.00007143003,0.4641122,0.03722692,0.001426159,0.000609422,0.001094127,0.001247877,0.3177018],"genre_scores_gemma":[0.966157,4.787944e-7,0.02294645,0.0009384437,0.0005568493,0.000107296,0.000352985,0.00001399967,0.008926543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8760371,"threshold_uncertainty_score":0.9982562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243663076547578,"score_gpt":0.295690682751016,"score_spread":0.2832540519855402,"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."}}