{"id":"W7125974680","doi":"10.1109/smc58881.2025.11343466","title":"Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Outaouais; Institut National de la Recherche Scientifique","funders":"","keywords":"Robustness (evolution); Counterfactual thinking; Testbed; Personalization; Natural language generation; RGB color model","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001046726,0.0005187547,0.000866365,0.002091339,0.0005202466,0.0006727809,0.001147863,0.000244434,0.0005149961],"category_scores_gemma":[0.00007375765,0.0004927211,0.000600224,0.0100294,0.0001133656,0.0003896411,0.0003434206,0.0004018441,0.00008570249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004148458,"about_ca_system_score_gemma":0.0008805998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729296,"about_ca_topic_score_gemma":0.0004032031,"domain_scores_codex":[0.9954708,0.0006579118,0.001002971,0.001601962,0.0006784697,0.0005879155],"domain_scores_gemma":[0.9968766,0.0002041114,0.0002415421,0.001725472,0.0007467795,0.0002054706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009954855,0.0007784209,0.0005855114,0.00004922854,0.0012669,0.000006553652,0.001569821,0.9148743,0.0005850043,0.06177716,0.003424988,0.01498254],"study_design_scores_gemma":[0.001055032,0.0001875098,0.001348846,0.00008835795,0.0007347079,2.245272e-7,0.00007853712,0.9857662,0.009503067,0.0002675323,0.0005441949,0.0004258081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01000745,0.0005202913,0.9233661,0.002191254,0.001443768,0.0005699071,0.00001012572,0.0001735668,0.06171755],"genre_scores_gemma":[0.9448974,0.00002552332,0.04737261,0.001250104,0.0001503457,0.000019922,0.00003599679,0.000007601649,0.006240559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9348899,"threshold_uncertainty_score":0.9997525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08601229894000449,"score_gpt":0.325546306382586,"score_spread":0.2395340074425815,"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."}}