{"id":"W6930762591","doi":"10.5281/zenodo.15112729","title":"Dataset and Reproducibility for Reentrancy Redux: The Evolution of Real-World Reentrancy Attacks on Blockchains","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Exploit; Key (lock); Relational database; Database security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00157419,0.001725814,0.001096264,0.00343389,0.000965565,0.002071015,0.002521001,0.002541012,0.01612543],"category_scores_gemma":[0.008107527,0.000458853,0.001404261,0.004928718,0.0006525192,0.001332656,0.002277761,0.001805872,0.02710142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169291,"about_ca_system_score_gemma":0.002263291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967167,"about_ca_topic_score_gemma":0.03455481,"domain_scores_codex":[0.9976451,0.0003765805,0.0002927335,0.0006230662,0.0007454943,0.0003171093],"domain_scores_gemma":[0.9965355,0.0008711957,0.000392191,0.001096153,0.0008092424,0.0002957684],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000180429,0.00008866206,0.004792999,0.0006747955,0.00007593611,0.0001033097,0.00005630187,0.002013624,0.0002839294,0.001020886,0.9839038,0.006805423],"study_design_scores_gemma":[0.0004084805,0.00007612626,0.02046758,0.0004749328,0.00006980038,0.0003849752,0.0002582064,0.004052219,0.00132187,0.002984322,0.9694152,0.0000863277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001851626,0.0002076292,0.0002072237,0.0001831475,0.00006667825,0.00003215972,0.9953507,0.0006531862,0.001447682],"genre_scores_gemma":[0.001894725,0.00006879168,0.0003973612,0.00005595926,0.00001104068,0.00006941915,0.9968686,0.00005845907,0.0005756804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9984258,"threshold_uncertainty_score":0.05394489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142517849802889,"score_gpt":0.2982787263629245,"score_spread":0.2568535478648956,"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."}}