{"id":"W4312578340","doi":"10.14778/3554821.3554897","title":"The past, present and future of indexing on persistent memory","year":2022,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Search engine indexing; Computer science; Hash function; Contrast (vision); Data science; Information retrieval; Artificial intelligence; Computer security","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":[0.0001790068,0.0000963272,0.0001077222,0.00002821922,0.0002881105,0.00001024485,0.0002452588,0.00001332382,0.00000530494],"category_scores_gemma":[0.000005124947,0.00005978413,0.00007858503,0.0001153447,0.00004007674,0.00003999524,0.0002755446,0.0002114454,1.555482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005339291,"about_ca_system_score_gemma":0.000003400131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000123215,"about_ca_topic_score_gemma":7.233363e-8,"domain_scores_codex":[0.9993064,0.000006070665,0.0001675037,0.0001090531,0.0002590285,0.0001518969],"domain_scores_gemma":[0.9997271,0.00005051553,0.00008921058,0.00007976659,0.00002713311,0.00002630194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005050973,0.0002629932,0.002254846,0.001468735,0.0005517503,0.000003013546,0.01279982,0.266826,0.5030131,0.01510985,0.01307973,0.1841251],"study_design_scores_gemma":[0.001457937,0.000776724,0.002456378,0.0001787011,0.0001199615,0.00007397039,0.02207575,0.01261946,0.828133,0.002226855,0.1294027,0.0004785609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907885,0.001486981,0.000002936974,0.001601184,0.0004764638,0.0003338325,0.000003656926,0.00004419761,0.005262297],"genre_scores_gemma":[0.9993522,0.00008820771,0.000050229,0.00003588161,0.0002670555,0.00003040871,1.700667e-7,0.00001266201,0.0001631615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251199,"threshold_uncertainty_score":0.2437926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009660911960263854,"score_gpt":0.1978137885562515,"score_spread":0.1881528765959876,"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."}}