{"id":"W4400083089","doi":"10.2139/ssrn.4878306","title":"Entity and Relation Extractions for Threat Intelligence Knowledge Graphs","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Relation (database); Knowledge graph; Computer science; Business; Knowledge management; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328649,0.0009719706,0.0008392988,0.009543034,0.001243218,0.002652786,0.001185191,0.001447865,0.007544334],"category_scores_gemma":[0.01057409,0.0006659327,0.002153811,0.009006437,0.0004409954,0.00506479,0.001544803,0.001658742,0.003705598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007957477,"about_ca_system_score_gemma":0.001476364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005379437,"about_ca_topic_score_gemma":0.01092463,"domain_scores_codex":[0.9985935,0.0003107912,0.0001762587,0.0004412133,0.0003553418,0.0001228759],"domain_scores_gemma":[0.9947024,0.003435818,0.0003680144,0.0008497183,0.0004959009,0.0001481436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005302847,0.0004419954,0.01256274,0.00162162,0.0004956212,0.001298337,0.001584446,0.03172911,0.01492007,0.0630042,0.06659629,0.8052153],"study_design_scores_gemma":[0.0001317756,0.0001931503,0.0217824,0.0006516851,0.0009926417,0.002479275,0.00176672,0.5121437,0.02721418,0.2871026,0.1453893,0.0001525463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05238233,0.002731103,0.8695964,0.001599649,0.0001855169,0.0007334718,0.04712985,0.01378933,0.01185232],"genre_scores_gemma":[0.3306217,0.002721515,0.5593942,0.0002830019,0.0002407167,0.0004919831,0.09753862,0.001055738,0.007652421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009543034,"threshold_uncertainty_score":0.02523834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293684659563249,"score_gpt":0.3066076878912233,"score_spread":0.2772392219348984,"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."}}