{"id":"W4398150603","doi":"10.23977/acss.2024.080310","title":"Application Analysis of Computer Information Security under Big Data","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Computer security; Data science; Information security; 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":[0.002022621,0.0005274742,0.0004134978,0.004166689,0.0008810444,0.002164293,0.0005375443,0.0005745564,0.002454628],"category_scores_gemma":[0.006737059,0.0001796013,0.0007369249,0.004298969,0.0007726667,0.002406805,0.0008719653,0.000863979,0.0003361018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588251,"about_ca_system_score_gemma":0.00141301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003895381,"about_ca_topic_score_gemma":0.002167212,"domain_scores_codex":[0.9983125,0.0005021642,0.00007894031,0.0001826307,0.000742547,0.0001813211],"domain_scores_gemma":[0.9959531,0.00174955,0.0003237383,0.0004709956,0.001361665,0.0001409147],"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":[0.0003953659,0.0003786203,0.09666423,0.001397849,0.0004279632,0.001730198,0.0015243,0.2034525,0.01203427,0.3116918,0.02340776,0.3468952],"study_design_scores_gemma":[0.00001578118,0.0001301975,0.03464248,0.0001673775,0.0001010894,0.0005812374,0.001195816,0.8228385,0.01049088,0.1040795,0.02570166,0.0000553836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4179836,0.007410366,0.4587872,0.0077146,0.0006754576,0.0007210555,0.002634429,0.00176458,0.1023087],"genre_scores_gemma":[0.9630406,0.00257983,0.03003213,0.0002282365,0.0001447451,0.0001252338,0.000816815,0.00005613178,0.00297613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004166689,"threshold_uncertainty_score":0.01152366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950288536008677,"score_gpt":0.2810648362962282,"score_spread":0.2415619509361414,"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."}}