{"id":"W4379800102","doi":"10.1145/3604437.3604444","title":"Efficiently Making Cross-Engine Transactions Consistent","year":2023,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Limiting; Isolation (microbiology); Correctness; Database; Operating system; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0003200895,0.0001530557,0.00020237,0.0001313406,0.0002649525,0.0002840123,0.001068054,0.00007790377,0.00004367768],"category_scores_gemma":[0.00008024217,0.0001439982,0.0001370526,0.001071254,0.00004518336,0.0002938156,0.0001090608,0.0001632657,0.0005153113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004571556,"about_ca_system_score_gemma":0.00004885331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002774609,"about_ca_topic_score_gemma":0.00001672142,"domain_scores_codex":[0.9984889,0.00004128854,0.0003207665,0.0004487098,0.0002781482,0.0004221774],"domain_scores_gemma":[0.9985861,0.0001647235,0.00008272111,0.0009784476,0.00009833936,0.00008965893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002977757,0.0002511721,0.003601923,0.0001508291,0.0001441437,0.0002840674,0.00147777,0.02525762,0.002377853,0.009261461,0.01764819,0.9395152],"study_design_scores_gemma":[0.00157991,0.0002223146,0.02016613,0.0002609461,0.00002468209,0.0001231558,0.0001555697,0.6503775,0.001354226,0.002407763,0.3223399,0.0009880241],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07454263,0.0001059291,0.9185564,0.00115424,0.00271125,0.0002212661,0.0000345577,0.0009160537,0.001757669],"genre_scores_gemma":[0.9903199,0.00001508316,0.006793787,0.0001483476,0.00008537357,0.00004348385,0.000008715587,0.00001432399,0.002570975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9385272,"threshold_uncertainty_score":0.6623456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259407237871086,"score_gpt":0.3036519960292631,"score_spread":0.2710579236505523,"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."}}