{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277886,0.0001577975,0.0001501575,0.0001285153,0.0001117085,0.0003748985,0.004072763,0.00007706637,0.00001610021],"category_scores_gemma":[0.0003509245,0.0001323733,0.00004798979,0.0004728972,0.000119327,0.003238163,0.002418159,0.000143322,0.00009081375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010615,"about_ca_system_score_gemma":0.00009217722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001491495,"about_ca_topic_score_gemma":0.00004474521,"domain_scores_codex":[0.9983531,0.00001099745,0.0001765296,0.0009075774,0.0002207716,0.0003310664],"domain_scores_gemma":[0.9972309,0.0002035652,0.00003436833,0.00241663,0.0000634633,0.00005104626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007120658,0.00009623154,0.00001006435,0.0001868004,0.00006316393,0.00008691463,0.0005527596,0.00003563528,0.007829452,0.424646,0.09298991,0.473496],"study_design_scores_gemma":[0.0003958205,0.0002747235,0.00004574966,0.0001970051,0.00003269798,0.0001317017,0.001339821,0.3860162,0.01933769,0.04962184,0.5417495,0.0008572256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002635795,0.001176118,0.9913669,0.003109756,0.0005591079,0.0002357322,0.0003296121,0.00198164,0.0009775055],"genre_scores_gemma":[0.1127872,0.00002634133,0.8846225,0.000203163,0.00006119235,0.00003662332,0.00007927034,0.00001940969,0.002164321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4726388,"threshold_uncertainty_score":0.7568274,"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."}}