{"id":"W2952165359","doi":"10.48550/arxiv.1608.08584","title":"Error Invariants for Concurrent Traces","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Atomicity; Concurrency; TRACE (psycholinguistics); Computer science; Slicing; Programmer; Programming language; Program slicing; Debugging; Theoretical computer science; Algorithm; Database transaction","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":[0.003689551,0.001383897,0.0007585576,0.002860224,0.0007530438,0.002124622,0.001842286,0.001021584,0.002615289],"category_scores_gemma":[0.03102446,0.0007804508,0.0016049,0.001294568,0.003076462,0.004122457,0.002705659,0.002116579,0.0004604244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130442,"about_ca_system_score_gemma":0.002327445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003671899,"about_ca_topic_score_gemma":0.002340642,"domain_scores_codex":[0.9924468,0.0009780073,0.0009453776,0.001076428,0.003804457,0.0007488848],"domain_scores_gemma":[0.9692681,0.01541441,0.004368366,0.006571649,0.003960729,0.0004168405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006123994,0.0003248244,0.01600799,0.0009270278,0.0001722467,0.001578342,0.001988641,0.3863576,0.04749905,0.3282292,0.003691253,0.2126113],"study_design_scores_gemma":[0.00006946456,0.0002436902,0.001902062,0.0002045977,0.0001454234,0.0006105112,0.0002359918,0.6555495,0.07757782,0.2485297,0.01482298,0.0001082158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02349431,0.0001611603,0.969465,0.00008186243,0.00004710056,0.0001152962,0.0003053358,0.004833285,0.001496694],"genre_scores_gemma":[0.5718955,0.0003281838,0.4204904,0.0002061693,0.0001242168,0.0004142026,0.001416244,0.001845688,0.003279455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003689551,"threshold_uncertainty_score":0.01951247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046726362306726,"score_gpt":0.1912735990325088,"score_spread":0.1308063354094415,"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."}}