{"id":"W3128880130","doi":"10.1002/pssa.202000655","title":"Electrocatalytic Hydrolysis‐Modulated Multistate Resistive Switching Behaviors in Memristors","year":2021,"lang":"en","type":"article","venue":"physica status solidi (a)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Memristor; Resistive random-access memory; Neuromorphic engineering; Resistive touchscreen; Computer data storage; Computer science; Materials science; Nanotechnology; Internet of Things; Graphene; Mechanism (biology); Optoelectronics; Electrical engineering; Engineering; Physics; Artificial neural network; Computer hardware; Artificial intelligence; Voltage; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008289547,0.0001709404,0.0001421159,0.0001523004,0.0001297418,0.0002559737,0.0003338871,0.0003058547,0.0009293256],"category_scores_gemma":[0.0001740667,0.0001488894,0.0001527332,0.0001343822,0.0002646614,0.0004576411,0.0001888868,0.0003003396,0.0002186463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850884,"about_ca_system_score_gemma":0.00005946232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863357,"about_ca_topic_score_gemma":0.0003069426,"domain_scores_codex":[0.9999409,0.000006912908,0.000004965339,0.00001513802,0.00002099142,0.00001114157],"domain_scores_gemma":[0.9999604,0.00001386081,0.0000103212,0.000005828643,0.000005413457,0.000004125156],"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":[0.00003530718,0.00002284402,0.000156241,0.00008612885,0.000005669237,0.0001306758,0.00006096428,0.0005997106,0.9923294,0.002234364,0.0001766574,0.004162139],"study_design_scores_gemma":[0.00001181735,0.00009800399,0.000655733,0.000006813005,0.000006516421,0.00009940474,0.00003284924,0.03052896,0.9664125,0.0007120745,0.001421136,0.0000141009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838576,0.001260134,0.008647732,0.0002797109,0.00005885541,0.00002661074,0.0001104614,0.0002356708,0.005523258],"genre_scores_gemma":[0.9974842,0.0002309011,0.001349295,0.0000289097,0.000004836394,0.000009415441,0.00001910851,0.000007075173,0.0008661206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009293256,"threshold_uncertainty_score":0.003108919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009065963931018434,"score_gpt":0.2428020547248846,"score_spread":0.2337360907938661,"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."}}