{"id":"W4287110482","doi":"10.5281/zenodo.6396274","title":"MANAGEMENT OF OPEN SOURCE INFORMATION IN THE MANAGEMENT OF CURRENT CYBER THREATS AND WAYS TO FIGHT FRAUD AT FINANCIAL COMPANIES","year":2021,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer security; Financial management; Data breach; Finance; Open source; Current (fluid); Internet privacy; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004951942,0.0001454952,0.0002141672,0.00009631355,0.0004367253,0.0003185748,0.001151144,0.00004377644,0.02628683],"category_scores_gemma":[0.000007169258,0.0001269725,0.00002659067,0.0003780059,0.00009379481,0.0002685538,0.006579735,0.0001212756,0.008122228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297536,"about_ca_system_score_gemma":0.000002138933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616391,"about_ca_topic_score_gemma":0.000002614537,"domain_scores_codex":[0.9987622,0.00006647963,0.0003850244,0.000278008,0.0002989189,0.0002093994],"domain_scores_gemma":[0.9993656,0.000007214187,0.0001859858,0.0003437729,0.00004442219,0.00005304991],"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":[0.00005735965,0.0001245392,0.00001177,0.0005997233,0.00004956221,0.000004798114,0.003056531,0.001859408,0.00001236918,0.001437533,0.5687158,0.4240706],"study_design_scores_gemma":[0.0003365309,0.00003177935,0.009806282,0.0002802445,0.00001464686,0.000005482605,0.0004538456,0.00005396003,0.00003859389,0.00004725943,0.9887932,0.0001382029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04553919,0.0006342981,0.005013929,0.0006544916,0.0004254948,0.002692323,0.0004069804,0.00003968767,0.9445936],"genre_scores_gemma":[0.8498122,0.02911786,0.008043256,0.00168545,0.0002443726,0.00001008987,0.02158767,0.00241965,0.08707952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8575141,"threshold_uncertainty_score":0.9926501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244457710649766,"score_gpt":0.2487727248174387,"score_spread":0.206328147710941,"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."}}