{"id":"W2096480741","doi":"10.1109/icci.1992.227618","title":"Global snapshots for distributed debugging","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Debugging; Snapshot (computer storage); Computer science; Computation; Theoretical computer science; Distributed computing; Distributed algorithm; Programming language; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003756384,0.0007711506,0.0007545095,0.001276223,0.001097567,0.003076178,0.001472869,0.001244327,0.004668436],"category_scores_gemma":[0.01073876,0.0005199341,0.0005457792,0.001352186,0.002367174,0.00648524,0.003751204,0.003086935,0.0009019785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009074593,"about_ca_system_score_gemma":0.001297823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174224,"about_ca_topic_score_gemma":0.001304648,"domain_scores_codex":[0.9972093,0.001317553,0.0002047833,0.0004381527,0.0006332879,0.000196928],"domain_scores_gemma":[0.9941094,0.002226566,0.0004389856,0.002313773,0.0006456447,0.0002657574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001304355,0.00002402088,0.0007501072,0.000163504,0.00002952278,0.0001357629,0.0005114918,0.01865025,0.002347915,0.8276783,0.005681257,0.1438975],"study_design_scores_gemma":[0.00006345326,0.0001019719,0.0003642799,0.0001983835,0.00006552232,0.0003301735,0.0002499133,0.1426398,0.00931849,0.7568925,0.08972574,0.00004984589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002510658,0.0007473254,0.9912855,0.0003834004,0.00008904657,0.00004892596,0.00005127559,0.001457704,0.00342613],"genre_scores_gemma":[0.2107605,0.00153738,0.7818517,0.0003216527,0.0001987042,0.000243134,0.0003114284,0.0006007698,0.004174805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004668436,"threshold_uncertainty_score":0.01986593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447271149889259,"score_gpt":0.2590153062474455,"score_spread":0.2445425947485529,"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."}}