{"id":"W4366203717","doi":"10.1002/aelm.202300010","title":"A Memristive Cell with Long Retention Time in 65 nm CMOS Technology","year":2023,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données","keywords":"Memristor; CMOS; Trap (plumbing); Quantum tunnelling; Materials science; Optoelectronics; Electronic circuit; Nanotechnology; Electrical engineering; Memistor; Fabrication; Charge (physics); Non-volatile memory; Chip; Capacitor; Sensitivity (control systems); Process (computing); Voltage; Electronic engineering; Resistive random-access memory; Computer science; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001459164,0.0001945093,0.0002760923,0.0002188835,0.00005461589,0.00001448246,0.0001317775,0.00008885123,0.00006694125],"category_scores_gemma":[0.0000182375,0.0001867805,0.00001954715,0.0007197131,0.00002841853,0.0001805252,0.00003806884,0.0001917647,0.0001954741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504025,"about_ca_system_score_gemma":0.00002021234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001252351,"about_ca_topic_score_gemma":0.00001091684,"domain_scores_codex":[0.9986789,0.00002770566,0.0002485373,0.0002771661,0.00008888321,0.0006788651],"domain_scores_gemma":[0.9996542,0.00004061901,0.00005713007,0.0001971083,0.00002112136,0.00002986039],"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":[0.00006408703,0.000006721073,0.00001975178,0.00006537773,0.000009145228,0.00004361705,0.0000306599,0.05101353,0.9462432,0.00015969,0.00001675961,0.002327492],"study_design_scores_gemma":[0.000612384,0.000164924,0.0002181807,0.00008141737,0.00000799684,0.0000194522,0.00002891957,0.0008378269,0.9953095,0.00198854,0.0004889101,0.000241984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964863,0.0002183956,0.001423792,0.00004237562,0.0001222475,0.0003188822,0.000005525584,0.001086614,0.0002958411],"genre_scores_gemma":[0.9988617,0.0001669798,0.0002409328,0.00001246332,0.00003926296,0.00007593852,0.00003472744,0.00005268258,0.0005152824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0501757,"threshold_uncertainty_score":0.7616686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376014827734098,"score_gpt":0.1964054327682929,"score_spread":0.1930294179405588,"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."}}