{"id":"W4395106468","doi":"10.1145/3620666.3651334","title":"MemSnap μCheckpoints: A Data Single Level Store for Fearless Persistence","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Persistence (discontinuity); Computer science; Granularity; Persistent data structure; File system; Operating system; Database; Engineering","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":[0.001497551,0.0006712344,0.0007061266,0.001079259,0.0009421819,0.002615992,0.005124463,0.001023143,0.02167984],"category_scores_gemma":[0.006402022,0.0009105041,0.0007796368,0.001070394,0.001285801,0.0059235,0.006103909,0.002003021,0.005363805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009474597,"about_ca_system_score_gemma":0.002244028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391187,"about_ca_topic_score_gemma":0.003678201,"domain_scores_codex":[0.9982204,0.000125652,0.0001250726,0.0002399132,0.001111617,0.0001772643],"domain_scores_gemma":[0.9964509,0.0007627404,0.0002331399,0.001662245,0.0006921563,0.0001987937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002039997,0.0003544812,0.007824482,0.001456468,0.0002883468,0.0006954127,0.001338257,0.007603859,0.0474995,0.1337533,0.238615,0.5585308],"study_design_scores_gemma":[0.0006466435,0.001029571,0.002520097,0.0004525802,0.0003492816,0.001015315,0.000497404,0.1113661,0.1607146,0.07841953,0.6426445,0.0003443975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04124204,0.002740752,0.7485165,0.001681729,0.00164499,0.0006082207,0.004421847,0.1723806,0.02676329],"genre_scores_gemma":[0.4794754,0.002064913,0.4151219,0.002314616,0.0006122535,0.0009577014,0.009233377,0.02177818,0.0684417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02167984,"threshold_uncertainty_score":0.07252634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.274814097985871,"score_gpt":0.336394812528964,"score_spread":0.061580714543093,"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."}}