{"id":"W4415057288","doi":"10.48550/arxiv.2509.06896","title":"Are Targeted Data Poisoning Attacks as Effective as We Think?","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research","keywords":"Vulnerability (computing); Test (biology); Sample (material); Key (lock); Poison control","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01772317,0.001729964,0.002006148,0.001244811,0.001261195,0.005539129,0.002224413,0.004800736,0.00149065],"category_scores_gemma":[0.0823599,0.0008812232,0.0009213458,0.0007796398,0.004858757,0.01237443,0.003093854,0.004032137,0.001323327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143809,"about_ca_system_score_gemma":0.002122567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109248,"about_ca_topic_score_gemma":0.001691554,"domain_scores_codex":[0.9851104,0.005768196,0.0008914582,0.002441188,0.004623054,0.001165763],"domain_scores_gemma":[0.9516823,0.02059018,0.005571038,0.01640753,0.003654457,0.002094525],"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":[0.00436676,0.001212033,0.11968,0.001595052,0.001559316,0.0005720712,0.001182668,0.2795094,0.04420004,0.06551696,0.04313207,0.4374737],"study_design_scores_gemma":[0.0004134893,0.005661425,0.02203012,0.0007663651,0.0008036123,0.003023299,0.001718528,0.6250101,0.1002628,0.2076872,0.03231689,0.0003061974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4804683,0.01453798,0.4277085,0.04263247,0.001731645,0.0008119713,0.001901402,0.007393097,0.02281472],"genre_scores_gemma":[0.9466171,0.001282724,0.04651225,0.003196138,0.0001957043,0.0001422635,0.0004679093,0.0003932192,0.001192764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772317,"threshold_uncertainty_score":0.09373021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08649121777744263,"score_gpt":0.384409077609658,"score_spread":0.2979178598322154,"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."}}