{"id":"W4407683046","doi":"10.15662/ijmserh.2024.1202002","title":"National Public Data Breach","year":2024,"lang":"en","type":"article","venue":"International journal of multidisciplinary and scientific emerging research.","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data breach; Political science; Computer security; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008055401,0.0003017273,0.0004401764,0.002061016,0.005118297,0.008101482,0.001417428,0.004446908,0.01761823],"category_scores_gemma":[0.03460012,0.0003117827,0.0006429563,0.002875951,0.004742647,0.008360813,0.009336288,0.005314294,0.004932546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005311185,"about_ca_system_score_gemma":0.006870972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006661308,"about_ca_topic_score_gemma":0.00437166,"domain_scores_codex":[0.9815797,0.00443199,0.00142724,0.002238734,0.00804991,0.002272496],"domain_scores_gemma":[0.9782164,0.006225685,0.00323181,0.00704187,0.004404253,0.0008801188],"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":[0.0001073125,0.0001189927,0.0164473,0.0002778626,0.00003500619,0.001196734,0.006850929,0.0005262727,0.001180205,0.7565126,0.07265683,0.14409],"study_design_scores_gemma":[0.000009568682,0.00008793818,0.007638034,0.0007294716,0.00003195114,0.003184988,0.005643889,0.001354584,0.003824536,0.05758341,0.9198354,0.00007642111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1031922,0.004460535,0.02458212,0.03341765,0.0009849627,0.0002493279,0.001309789,0.0005829189,0.8312206],"genre_scores_gemma":[0.8442743,0.002981247,0.008624273,0.02228947,0.0002958819,0.0002746068,0.001413315,0.000141838,0.119705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01761823,"threshold_uncertainty_score":0.05893886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2273833041902205,"score_gpt":0.48589871846226,"score_spread":0.2585154142720395,"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."}}