{"id":"W4205624512","doi":"10.1039/d1nh00481f","title":"Versatile memristor for memory and neuromorphic computing","year":2022,"lang":"en","type":"article","venue":"Nanoscale Horizons","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neuromorphic engineering; Memristor; Computer architecture; Computer science; Artificial intelligence; Electronic engineering; Artificial neural network; Engineering","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":[0.0001146889,0.0001249958,0.0001550628,0.00005700206,0.0004906281,0.0000135456,0.0001151793,0.00002594229,0.00003126587],"category_scores_gemma":[0.00002732473,0.000148978,0.00005034828,0.0001363238,0.0000286545,0.00006102407,0.0001138817,0.0002288449,0.000002503593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005412552,"about_ca_system_score_gemma":0.0000097433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001476134,"about_ca_topic_score_gemma":0.000001449704,"domain_scores_codex":[0.999246,0.00002883003,0.0001524945,0.0002045797,0.0001093984,0.0002586879],"domain_scores_gemma":[0.9995493,0.0002031476,0.00002867779,0.0001340616,0.00001318493,0.0000716768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001423509,0.000119588,0.000381959,0.000451042,0.00009597524,0.00009934335,0.002210795,0.3045672,0.5158876,0.001790035,0.02327717,0.150977],"study_design_scores_gemma":[0.00445335,0.001959188,0.001441423,0.00006016701,0.0001511148,0.0003946071,0.001919976,0.5169722,0.1425395,0.001631858,0.3266143,0.001862273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844619,0.0005699563,0.01148739,0.00009871182,0.001519679,0.0003460341,0.00005243289,0.0004895297,0.0009743733],"genre_scores_gemma":[0.998391,0.000008155284,0.001088898,0.00007843925,0.0001604679,0.00003289689,0.00001154463,0.00003900668,0.0001896038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733481,"threshold_uncertainty_score":0.6075148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851318900901209,"score_gpt":0.2178928785406611,"score_spread":0.1993796895316491,"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."}}