{"id":"W2885725796","doi":"","title":"Geriatrix: aging what you see and what you don't see a file system aging approach for modern storage systems","year":2018,"lang":"en","type":"article","venue":"USENIX Annual Technical Conference","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"File system; Computer science; Fragmentation (computing); Operating system; Software; Computer data storage; Flash memory; Embedded system","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008394773,0.0005978484,0.0007919614,0.0003270175,0.0005372106,0.003267084,0.0027416,0.0004542499,0.00001214566],"category_scores_gemma":[0.0003663725,0.0005527287,0.0001252582,0.0006669381,0.0006151012,0.009372517,0.002324095,0.0005859347,0.00002740329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563997,"about_ca_system_score_gemma":0.0001545702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005248271,"about_ca_topic_score_gemma":0.00001352121,"domain_scores_codex":[0.9956951,0.0001376361,0.0007263926,0.001779412,0.0006184701,0.001042995],"domain_scores_gemma":[0.9961073,0.0004193034,0.000417108,0.002178507,0.0006199665,0.0002578243],"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":[0.0002345502,0.0006044655,0.0001735762,0.003765751,0.0003113717,0.0003622577,0.01159489,0.001946723,0.01802016,0.3590178,0.01878582,0.5851826],"study_design_scores_gemma":[0.001651663,0.0009273791,0.0001142353,0.002376208,0.00009456272,0.0007782877,0.02710399,0.9237275,0.002698421,0.005005948,0.03310764,0.002414154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003637213,0.002802166,0.9869583,0.0003962053,0.0007500025,0.001329446,0.0004380622,0.003465732,0.0002228978],"genre_scores_gemma":[0.804215,0.0003305002,0.194232,0.00009476465,0.0002650809,0.0004479535,0.00009193891,0.00005622587,0.0002665014],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9217808,"threshold_uncertainty_score":0.9996924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811065537350997,"score_gpt":0.2673739611441406,"score_spread":0.2392633057706306,"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."}}