{"id":"W4317569124","doi":"10.2139/ssrn.4326353","title":"The Landscape of Digital Natives Research: A Bibliometric and Science Mapping Analysis","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Bibliometrics; Scopus; Field (mathematics); Data science; Citation analysis; Productivity; Co-citation; Citation; Knowledge management; Library science; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005547551,0.0001724191,0.0005679747,0.03710821,0.003711995,0.01377025,0.0008004629,0.0006176829,0.005768568],"category_scores_gemma":[0.02432148,0.000172695,0.0004266432,0.06482317,0.003410132,0.01132186,0.004791189,0.0006109162,0.0004478449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003430015,"about_ca_system_score_gemma":0.004082149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072536,"about_ca_topic_score_gemma":0.01219531,"domain_scores_codex":[0.9960328,0.001482673,0.0003031443,0.0004973461,0.001361912,0.000322103],"domain_scores_gemma":[0.9789122,0.0113101,0.002520187,0.00128292,0.004516577,0.001458005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001877883,0.0001820079,0.389501,0.001064992,0.0001895189,0.0007752768,0.0511951,0.001425251,0.002053287,0.2646525,0.00701627,0.2817571],"study_design_scores_gemma":[0.00002393427,0.0002731239,0.5742224,0.0009988247,0.0002488408,0.00229724,0.1618598,0.009606097,0.001777881,0.09755526,0.1510457,0.00009090738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685784,0.01048582,0.004968112,0.007851615,0.00007476524,0.00007926118,0.002341958,0.0001209778,0.105499],"genre_scores_gemma":[0.9919869,0.002192415,0.002924308,0.000140321,0.00008348141,0.00002677341,0.0005755522,0.00002500106,0.002045307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628918,"threshold_uncertainty_score":0.0293386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04438052266692185,"score_gpt":0.3515426608187414,"score_spread":0.3071621381518195,"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."}}