{"id":"W6911705425","doi":"10.5281/zenodo.15256095","title":"Sound Static Data Race Verification for C: Is the Race Lost?","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Table (database); Scripting language; Artifact (error); Download; Reference data; Property (philosophy)","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":[0.01110913,0.00231408,0.001590687,0.00203528,0.002390596,0.005998445,0.00515667,0.00266064,0.05433924],"category_scores_gemma":[0.08485713,0.001271783,0.002232153,0.003105106,0.003440303,0.01481181,0.005485735,0.004480349,0.02642438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298156,"about_ca_system_score_gemma":0.007498999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009963512,"about_ca_topic_score_gemma":0.01037264,"domain_scores_codex":[0.9786912,0.005236608,0.001455059,0.003348866,0.009066471,0.002201738],"domain_scores_gemma":[0.9465308,0.02215225,0.001294162,0.01805392,0.01103368,0.000935244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002580036,0.0003697821,0.005094736,0.002883905,0.0002175191,0.0004162464,0.0008247265,0.01120119,0.01405217,0.09586452,0.6113542,0.255141],"study_design_scores_gemma":[0.000535774,0.0007113263,0.005447529,0.002356582,0.0002903804,0.000633824,0.0009331612,0.07047405,0.1140777,0.1498224,0.6542674,0.0004499761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05748765,0.006158507,0.4172515,0.01873884,0.007016267,0.001201574,0.03888137,0.268413,0.1848513],"genre_scores_gemma":[0.4560857,0.002069765,0.2991408,0.01121884,0.00122175,0.001441318,0.04995602,0.1280567,0.05080907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05433924,"threshold_uncertainty_score":0.1817829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07698762467988335,"score_gpt":0.3164264904382684,"score_spread":0.239438865758385,"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."}}