{"id":"W4405333981","doi":"10.1021/acsami.4c17183","title":"Surmounting Erase-Operation Limit in Organic Charge-Trap Memories by Fine Tuning Electron Injection at Semiconductor/Heterobimetallic Electrode Contacts","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Materials science; Electrode; Optoelectronics; Semiconductor; Voltage; Electron; Trap (plumbing); Threshold voltage; Organic semiconductor; Fermi level; Layer (electronics); Limit (mathematics); Nanotechnology; Transistor; Electrical engineering; Chemistry; Physics","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":[0.0001016905,0.0001561328,0.0001071165,0.0001291616,0.0001141659,0.0003251239,0.0003271168,0.0002115432,0.0005826625],"category_scores_gemma":[0.0002098561,0.0000897417,0.00005800348,0.0001079552,0.000184036,0.0005257452,0.0002217705,0.0002922977,0.0001543095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157234,"about_ca_system_score_gemma":0.00009464727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009484731,"about_ca_topic_score_gemma":0.0003761212,"domain_scores_codex":[0.9999491,0.000003466867,0.000003924161,0.0000118042,0.0000205687,0.00001105404],"domain_scores_gemma":[0.9999098,0.00003951407,0.00002190631,0.000008790015,0.00001314655,0.000006895455],"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":[0.00002747031,0.00002007201,0.0002062222,0.00005395251,0.000003227475,0.00006107083,0.00002983632,0.0002427015,0.9934306,0.0006531969,0.00002799708,0.005243707],"study_design_scores_gemma":[0.000003408126,0.00006808028,0.0004125186,0.000003323495,0.000004771483,0.00005904119,0.00002266932,0.002591123,0.9960282,0.0001322428,0.000672697,0.000001876627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869553,0.001383549,0.009816979,0.00009013846,0.00002424996,0.00001057367,0.0000318417,0.00006423501,0.001623173],"genre_scores_gemma":[0.9954411,0.0005723534,0.003346929,0.00002757526,0.000008292544,0.000008578401,0.00002073449,0.000008030323,0.0005663984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005826625,"threshold_uncertainty_score":0.001949191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008844630812615533,"score_gpt":0.220100813049469,"score_spread":0.2112561822368535,"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."}}