{"id":"W4414359777","doi":"10.24963/ijcai.2025/781","title":"LEKA: LLM-Enhanced Knowledge Augmentation","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Knowledge transfer; Domain knowledge; Key (lock); Task (project management); Transfer of learning; Knowledge acquisition; Training set; Feature (linguistics)","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":[0.001836736,0.001186155,0.000950643,0.001920662,0.0005610511,0.001572904,0.003026884,0.001408041,0.005604073],"category_scores_gemma":[0.009305677,0.0005541053,0.001168878,0.001511221,0.001061828,0.003700229,0.003838778,0.002273182,0.002533844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234249,"about_ca_system_score_gemma":0.001408272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453,"about_ca_topic_score_gemma":0.004940277,"domain_scores_codex":[0.9987381,0.0003574388,0.00008349019,0.0003727218,0.0003572919,0.00009100987],"domain_scores_gemma":[0.9967911,0.001675756,0.0001987152,0.0007706997,0.0004787878,0.00008501678],"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":[0.0003992915,0.0004725385,0.00192225,0.0004293629,0.0001300459,0.0002267645,0.0003206016,0.114572,0.0206404,0.007402169,0.01256277,0.8409218],"study_design_scores_gemma":[0.00004885707,0.0001329985,0.0006485158,0.00004276367,0.00004213675,0.0001350989,0.00009040662,0.952507,0.01885063,0.02013928,0.007325081,0.0000372938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01630636,0.0003151426,0.9655406,0.0003539987,0.00007367838,0.0001515917,0.0005319541,0.01418079,0.002545814],"genre_scores_gemma":[0.3151497,0.0002562799,0.6760463,0.0006782418,0.00005937218,0.0005882201,0.002446817,0.0004981632,0.004276928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005604073,"threshold_uncertainty_score":0.01874745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015748069501528,"score_gpt":0.3377602005301062,"score_spread":0.327602719835091,"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."}}