{"id":"W4388420604","doi":"10.18280/isi.280527","title":"An Information Algorithm: Advancing Financial Intelligence Management for Economic Security","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business intelligence; Business; Financial management; Economic security; Information security; Information security management; Computer science; Finance; Knowledge management; Economics; Computer security; Security information and event management; Cloud computing security; Economic growth; Cloud computing","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":[0.004477653,0.0009072981,0.0005104362,0.003950098,0.001161352,0.007962082,0.001506242,0.001852628,0.007786332],"category_scores_gemma":[0.01144457,0.0003645146,0.001007548,0.003578134,0.003914424,0.01606676,0.002870447,0.001763896,0.001870474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204493,"about_ca_system_score_gemma":0.002800915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662598,"about_ca_topic_score_gemma":0.0009639197,"domain_scores_codex":[0.9973953,0.001238043,0.0002095052,0.0002886193,0.0007668176,0.0001017876],"domain_scores_gemma":[0.9953689,0.002356868,0.0004630451,0.0009145204,0.0007190661,0.000177571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003607554,0.00003177765,0.0007901688,0.0002242804,0.00002101414,0.00005743925,0.0005503409,0.005413771,0.0008855232,0.8674096,0.004104114,0.120476],"study_design_scores_gemma":[0.000036065,0.0001477646,0.001158384,0.0006082308,0.00006531549,0.0003196265,0.0007436392,0.08069336,0.003270193,0.7296081,0.1832765,0.0000729016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01005813,0.002064647,0.9230772,0.006415104,0.0004001119,0.0001978355,0.000168403,0.0008861442,0.0567324],"genre_scores_gemma":[0.1889075,0.003361843,0.7968,0.0005748852,0.000376032,0.0002545974,0.0003047881,0.0002055428,0.009214691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007962082,"threshold_uncertainty_score":0.02604789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278261975109706,"score_gpt":0.266012497639138,"score_spread":0.243229877888041,"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."}}