{"id":"W7138875185","doi":"10.36526/sosioedukasi.v14i4.6516","title":"Trends and Maps of Research Collaboration on Teacher Digital Literacy and Student Digital Citizenship: Bibliometric Analysis","year":2025,"lang":"","type":"article","venue":"SOSIOEDUKASI JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital literacy; Context (archaeology); Scopus; Information literacy; Literacy; Field (mathematics); Citizenship; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","scholarly_communication"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.002437238,0.00100521,0.001511156,0.127252,0.0009421697,0.0193525,0.001978559,0.0004991099,0.00007202592],"category_scores_gemma":[0.001342126,0.001017644,0.0005300983,0.2218065,0.001375263,0.006926682,0.00194506,0.001525698,0.00003628265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821302,"about_ca_system_score_gemma":0.001052731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002990465,"about_ca_topic_score_gemma":0.00001093706,"domain_scores_codex":[0.9894887,0.000701871,0.002414808,0.002380944,0.003384846,0.001628825],"domain_scores_gemma":[0.9927278,0.001726844,0.000988675,0.001758978,0.001830051,0.0009676394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008363331,0.002776565,0.266275,0.0003097057,0.001930787,0.00008214021,0.008636368,0.00005171981,0.0001080171,0.02049111,0.008886675,0.6896155],"study_design_scores_gemma":[0.004648073,0.004066144,0.9415599,0.001483521,0.001314791,0.000113837,0.004128537,0.004912438,0.001040762,0.009863086,0.02491071,0.001958244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536021,0.002971402,0.0006807394,0.002878304,0.00164846,0.0008134439,0.001110638,0.0001151991,0.03617976],"genre_scores_gemma":[0.9893532,0.0003533952,0.0004803197,0.0001435993,0.0005732131,0.00006290752,0.0004850668,0.00006483257,0.008483413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6876573,"threshold_uncertainty_score":0.9992274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398327773474452,"score_gpt":0.3862625947910046,"score_spread":0.3622793170562601,"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."}}