{"id":"W2145526734","doi":"10.1149/ma2008-02/30/2118","title":"High Speed Unipolar Switching with Very Low Reset Current Resistance RAM (RRAM) for Non-Volatile Memory Application","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Resistive random-access memory; Reset (finance); Non-volatile memory; Current (fluid); Materials science; Optoelectronics; Electrical engineering; Engineering; Voltage; Business","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"],"consensus_categories":[],"category_scores_codex":[0.0003145012,0.0002646712,0.0002676243,0.00008169989,0.0003930143,0.00003110563,0.000198871,0.00007986477,0.000001637354],"category_scores_gemma":[0.000130127,0.000264499,0.00005803136,0.0002085186,0.00003260004,0.0002516127,0.00002898793,0.0004349161,0.00001693576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150268,"about_ca_system_score_gemma":0.00003830277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286332,"about_ca_topic_score_gemma":0.00001787059,"domain_scores_codex":[0.9985269,0.00001917649,0.0004002956,0.0003632594,0.000235765,0.000454611],"domain_scores_gemma":[0.9989423,0.0003365113,0.0001723628,0.0003422122,0.00008144778,0.0001251726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000105719,0.00003257031,0.0001575472,0.0003502187,0.00001715829,0.00001841634,0.0002907418,0.8625872,0.1343718,0.000006221863,0.0004523806,0.0016101],"study_design_scores_gemma":[0.001782726,0.00009486554,0.006640921,0.001318722,0.00004376927,0.00003988657,0.00009779895,0.0814377,0.8975556,0.0006191563,0.00938561,0.0009831871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884312,0.0004129588,0.00661693,0.00003283946,0.000455861,0.0005052381,0.00001071768,0.0004490593,0.003085226],"genre_scores_gemma":[0.9906167,0.00004053344,0.008598801,0.00001968261,0.0004979611,0.00002626897,0.0000391541,0.00007577198,0.0000851221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7811494,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473494494454078,"score_gpt":0.2361285590729874,"score_spread":0.2213936141284466,"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."}}