{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01776101,0.00025489,0.0003095805,0.006677627,0.003619171,0.02093427,0.001604467,0.003414521,0.009033178],"category_scores_gemma":[0.06399538,0.0002133665,0.0003669317,0.004749848,0.004838951,0.01373007,0.005422479,0.002575359,0.0007872277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006696165,"about_ca_system_score_gemma":0.007945752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256542,"about_ca_topic_score_gemma":0.003702564,"domain_scores_codex":[0.9893519,0.004276132,0.000628527,0.0005527099,0.003803006,0.001387821],"domain_scores_gemma":[0.8911141,0.04387151,0.03193337,0.004675178,0.01601208,0.01239378],"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":[0.0003321677,0.00115853,0.1717734,0.0007263804,0.0001757794,0.001287862,0.01143423,0.008929013,0.001201118,0.3850131,0.04914899,0.3688194],"study_design_scores_gemma":[0.0001364215,0.0004907837,0.2246106,0.003215858,0.0001553436,0.0008474037,0.05452144,0.04412129,0.003510196,0.4300536,0.2381224,0.0002147026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5384954,0.005351461,0.02175237,0.1329852,0.0006323907,0.0005367404,0.0004261411,0.0002027456,0.2996175],"genre_scores_gemma":[0.9902322,0.001006092,0.001789368,0.0009756971,0.0002189816,0.00005463702,0.00007947288,0.00002312658,0.005620331],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02093427,"threshold_uncertainty_score":0.0939303,"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."}}