{"id":"W2810719243","doi":"10.5430/wje.v8n3p86","title":"The Proper Use of Technologies as a Digital Citizenship Indicator: Undergraduate English Language Students at Al-Hussein Bin Talal University","year":2018,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Digital literacy in education","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Etiquette; Citizenship; Citizenship education; Bin; Phenomenon; Sociology; Mathematics education; Computer science; Political science; Psychology; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003003293,0.000103955,0.0001215383,0.000383097,0.0001578912,0.0005318855,0.001137641,0.00003221392,0.000004792529],"category_scores_gemma":[0.0006438027,0.00007690995,0.00006654509,0.0006835732,0.0002765983,0.001609178,0.0002802489,0.0001607463,0.00003025983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279693,"about_ca_system_score_gemma":0.0004308304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000745282,"about_ca_topic_score_gemma":0.00001679828,"domain_scores_codex":[0.9988475,0.00006681654,0.0003140237,0.0001577892,0.0004465989,0.0001673064],"domain_scores_gemma":[0.9982432,0.0002216588,0.0005846418,0.0004048894,0.0004783953,0.00006718346],"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":[0.0003487888,0.002447108,0.2616718,0.00005655493,0.0004357932,0.00002974688,0.05148007,0.0000117972,0.002330948,0.1223123,0.200262,0.3586131],"study_design_scores_gemma":[0.001756241,0.001554661,0.1348277,0.0009801342,0.0001309546,0.0003599974,0.03893185,0.0001306364,0.02773825,0.03721642,0.7553292,0.001043926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906802,0.0001528689,0.0003284539,0.004107475,0.001430569,0.0001427752,0.000004084429,0.00004891027,0.003104637],"genre_scores_gemma":[0.9922252,0.0000237498,0.001284209,0.00009418034,0.0001198592,0.000001194798,0.000003295543,0.000007185194,0.006241088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5550672,"threshold_uncertainty_score":0.5128984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117593968671236,"score_gpt":0.2686897760673718,"score_spread":0.2575138363806594,"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."}}