{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01874248,0.00007947603,0.0001009157,0.001143927,0.001349868,0.002529424,0.002314014,0.00006788256,0.0002128464],"category_scores_gemma":[0.003958638,0.00006926466,0.0000585566,0.0007247044,0.000959491,0.003063169,0.001730721,0.0005908895,0.000045903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205324,"about_ca_system_score_gemma":0.001273505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841778,"about_ca_topic_score_gemma":0.0003283942,"domain_scores_codex":[0.9953715,0.0004386883,0.0003753122,0.0003871008,0.0031042,0.000323149],"domain_scores_gemma":[0.9970165,0.0005394638,0.0000931419,0.0002717389,0.001859866,0.0002192602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002716679,0.0008359153,0.004948944,0.0001287536,0.0005615678,0.0007953297,0.05468999,0.00005062397,0.005768355,0.3277895,0.3396018,0.2645576],"study_design_scores_gemma":[0.000341276,0.00005913831,0.001472211,0.0002508233,0.000009971341,0.0001477224,0.007467636,0.01489907,0.00005812817,0.08768344,0.8874535,0.0001570676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028835,0.01872255,0.00526673,0.2198758,0.03102884,0.0005891755,0.0007169507,0.0001940883,0.02072227],"genre_scores_gemma":[0.9946014,0.0006513109,0.0007976956,0.00001029578,0.001830851,0.000003029045,0.00008602646,0.000008882686,0.002010497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5478517,"threshold_uncertainty_score":0.9999502,"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."}}