{"id":"W6930093988","doi":"10.5281/zenodo.10864509","title":"MemSnap μCheckpoints: A Data Single Level Store for Fearless Persistence","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snapshot (computer storage); Artifact (error); Persistence (discontinuity); Single use; Real world data; Data collection","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":[0.005369949,0.002244037,0.001349527,0.002518488,0.001245679,0.00746679,0.005952248,0.002109457,0.1388692],"category_scores_gemma":[0.0247406,0.0018406,0.001689505,0.002385365,0.001444033,0.007987306,0.008843672,0.00312675,0.08071275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706081,"about_ca_system_score_gemma":0.003270185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00438386,"about_ca_topic_score_gemma":0.004137867,"domain_scores_codex":[0.9923667,0.0008887521,0.0007336359,0.0008103837,0.004642257,0.0005581522],"domain_scores_gemma":[0.9854875,0.002443061,0.0006151359,0.007377356,0.003568763,0.0005081993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001175515,0.00007468337,0.001285698,0.0009377149,0.0001299394,0.0002479225,0.0004895077,0.001202626,0.005414885,0.03499899,0.762132,0.1919106],"study_design_scores_gemma":[0.0002454594,0.0001465828,0.0006698757,0.0002983461,0.0001050053,0.0003408883,0.0001042542,0.007205528,0.02961699,0.02253468,0.9385784,0.0001539808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002991166,0.001002628,0.3250373,0.00127692,0.001396336,0.0003592429,0.02248585,0.6076108,0.03783973],"genre_scores_gemma":[0.1174386,0.001655218,0.2192075,0.003169627,0.0009443786,0.001189431,0.08269573,0.4216011,0.1520984],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1388692,"threshold_uncertainty_score":0.4645639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646135252296117,"score_gpt":0.3037160862262031,"score_spread":0.1391025609965914,"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."}}