{"id":"W4399471733","doi":"10.23977/jeis.2024.090209","title":"Privacy Protection in Information and Communication Technology Applications Based on Big Data","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Internet privacy; Computer security; Data science; Data mining","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":[0.009259064,0.0006432548,0.0007638981,0.00161701,0.002014173,0.004314393,0.001385884,0.001599719,0.001082179],"category_scores_gemma":[0.02145276,0.0004142936,0.001082134,0.00252672,0.002618964,0.007155918,0.004048946,0.002247882,0.0003291405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438678,"about_ca_system_score_gemma":0.002591708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008851485,"about_ca_topic_score_gemma":0.0005359222,"domain_scores_codex":[0.9856135,0.006997552,0.0008883693,0.001334791,0.004316071,0.0008496878],"domain_scores_gemma":[0.9840432,0.007551391,0.001682371,0.004619644,0.001811753,0.0002915931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009480244,0.0002965597,0.02648377,0.001366744,0.0003590839,0.001218063,0.003126282,0.06641559,0.02876519,0.5280504,0.008875733,0.3340946],"study_design_scores_gemma":[0.0001040891,0.0005090956,0.009569263,0.0004220647,0.00021978,0.001843895,0.001957245,0.4406278,0.06118408,0.4367322,0.04666552,0.000165017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1068425,0.003825752,0.8641081,0.005217614,0.0003191225,0.000342197,0.0004684716,0.0005836805,0.01829245],"genre_scores_gemma":[0.9324121,0.002005049,0.0628254,0.0005108894,0.0001924656,0.0002043731,0.0002735268,0.00004336437,0.001532711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009259064,"threshold_uncertainty_score":0.04896718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1411167137173094,"score_gpt":0.3710498922600756,"score_spread":0.2299331785427662,"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."}}