{"id":"W4393833302","doi":"10.5281/zenodo.5513050","title":"ASE2021 vulnerability fix dataset","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Vulnerability (computing); Computer science; Environmental science; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000612806,0.0003548158,0.0003459667,0.0002457401,0.001180642,0.001027048,0.002055822,0.0002517487,0.02215084],"category_scores_gemma":[0.001210238,0.0004148982,0.00005988814,0.0006071944,0.0001758059,0.0004303045,0.002365434,0.001039006,0.006583149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100972,"about_ca_system_score_gemma":0.000007256396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001697285,"about_ca_topic_score_gemma":0.000001389792,"domain_scores_codex":[0.9976518,0.00028145,0.0004125967,0.0007045112,0.0004618434,0.0004877993],"domain_scores_gemma":[0.9973488,0.00004097017,0.0001030304,0.001934111,0.0003647963,0.0002082707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008194649,0.0000672332,2.582152e-8,0.0004561292,0.0000449397,0.00005597577,0.00001648976,0.0001020669,0.000219256,0.00001849992,0.9797401,0.01927102],"study_design_scores_gemma":[0.0001548755,0.00004793118,0.000003149284,0.0001096146,0.00002648346,0.0001203637,0.00002259661,0.0001476013,0.0004291723,0.00009984165,0.998428,0.000410412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008626016,0.0003909492,0.006442274,0.00006609668,0.0001867928,0.0002908848,0.9883935,0.002131194,0.002089681],"genre_scores_gemma":[0.00005508329,0.0009512237,0.001591509,0.00009988598,0.0002241586,1.303978e-7,0.9953096,0.001725577,0.00004285303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01886061,"threshold_uncertainty_score":0.9998303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570254469444355,"score_gpt":0.2787153586426227,"score_spread":0.2430128139481791,"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."}}