{"id":"W4385613961","doi":"10.23977/aetp.2023.070810","title":"Research on Strategies for Cultivating College Students' Network Information Security Literacy from the Perspective of Big Data","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Big data; Literacy; Information security; Network security; Information literacy; Computer science; Mathematics education; Sociology; Computer security; Psychology; Pedagogy; World Wide Web; Artificial intelligence","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":[0.002575076,0.000366911,0.0002679185,0.001140185,0.001872588,0.00387402,0.0006867272,0.0006638871,0.002468148],"category_scores_gemma":[0.007651567,0.0001912578,0.0002529255,0.001136001,0.001681777,0.002406034,0.001924098,0.00140205,0.0002913448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226848,"about_ca_system_score_gemma":0.005664292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198781,"about_ca_topic_score_gemma":0.005397958,"domain_scores_codex":[0.9987841,0.0007329108,0.00004997309,0.0001051926,0.0001255334,0.000202238],"domain_scores_gemma":[0.9932725,0.003387461,0.000875187,0.0003613164,0.0006749245,0.001428603],"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":[0.0001182078,0.009861441,0.1441769,0.001529356,0.00008904542,0.0004614634,0.2072368,0.0005192352,0.005624788,0.07416309,0.005880241,0.5503396],"study_design_scores_gemma":[0.0003134321,0.001713761,0.1933498,0.002454977,0.0003696432,0.0004036833,0.6211946,0.005505017,0.01211535,0.06984085,0.09262913,0.00010969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605963,0.0009248854,0.004653495,0.004874403,0.00006193729,0.000304167,0.00001637288,0.00003412679,0.02853422],"genre_scores_gemma":[0.9897587,0.001035801,0.006713982,0.0003278544,0.00001063377,0.000193594,0.00001762356,0.000004106595,0.001937729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00387402,"threshold_uncertainty_score":0.01361841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117801222010986,"score_gpt":0.5472414866984777,"score_spread":0.4354613644973791,"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."}}