{"id":"W3152852792","doi":"10.5539/cis.v14n2p75","title":"A Nonuniform Reference Voltage Optimization Based on Relative-Precision-Loss Ratios in MLC NAND Flash Memory","year":2021,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Computer science; NAND gate; Flash memory; Flash (photography); Reliability (semiconductor); Low-density parity-check code; Voltage; Decoding methods; Computer data storage; Noise (video); Error detection and correction; Bit error rate; Electronic engineering; Algorithm; Computer hardware; Logic gate; Electrical engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006350277,0.00015202,0.0001583399,0.0005884561,0.0002941307,0.0005682291,0.0009564246,0.00007374798,0.00000902951],"category_scores_gemma":[0.0004054677,0.0001369199,0.00001912885,0.002098218,0.000280479,0.01856694,0.0007163502,0.0002153424,0.00003946058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182444,"about_ca_system_score_gemma":0.0002864816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002710583,"about_ca_topic_score_gemma":0.000002218045,"domain_scores_codex":[0.9983399,0.00002991213,0.0004042838,0.0003898903,0.0005666078,0.0002694171],"domain_scores_gemma":[0.9984474,0.0001894342,0.0001679096,0.0007408596,0.0003720419,0.00008233744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001490523,0.00005388447,0.0004758521,0.00002741896,0.000002035035,0.00002261399,0.001313452,0.5151246,0.000166384,0.08776921,0.0003065763,0.394723],"study_design_scores_gemma":[0.0004751898,0.00008304902,0.002480774,0.00006626857,7.604621e-7,0.00001657727,0.00004362422,0.9907839,0.001778245,0.00151571,0.002575841,0.0001800761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004301924,0.00002024,0.9886511,0.0004104474,0.0002463217,0.0001725828,0.00000596881,0.0001858704,0.006005574],"genre_scores_gemma":[0.3994327,0.0000659896,0.5991279,0.001287514,0.00001345329,0.00001701132,0.00002383587,0.000003369008,0.00002815104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4756593,"threshold_uncertainty_score":0.9951599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160077940029398,"score_gpt":0.252868767901221,"score_spread":0.2368609738982812,"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."}}