{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002605958,0.0003440685,0.0003594074,0.0003954048,0.0003265167,0.0006846821,0.0007156561,0.0008098531,0.002151985],"category_scores_gemma":[0.0003849552,0.0002215038,0.0003445316,0.0004047293,0.0006496852,0.001287279,0.0007394778,0.001096728,0.0005574132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531374,"about_ca_system_score_gemma":0.0003210448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002211997,"about_ca_topic_score_gemma":0.0004141238,"domain_scores_codex":[0.99986,0.00002498193,0.00000685547,0.00002782119,0.00006564731,0.00001456089],"domain_scores_gemma":[0.9999254,0.00002052796,0.00001218715,0.00001684642,0.00001427362,0.00001083011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001374576,0.0001192154,0.0004430496,0.001488385,0.0001016118,0.0004722314,0.0002082087,0.008797353,0.3027942,0.5556895,0.00747038,0.1222784],"study_design_scores_gemma":[0.00008634684,0.0006782272,0.0008974161,0.000496049,0.0001329273,0.002531276,0.0001777872,0.1284856,0.3109517,0.1659431,0.3894825,0.0001370645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.154165,0.2462047,0.4611705,0.005388942,0.002901069,0.0002639958,0.0006628692,0.001199331,0.1280437],"genre_scores_gemma":[0.7769799,0.05202005,0.1447903,0.0011305,0.0005327263,0.0001999835,0.0003487975,0.00009785752,0.02389977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002151985,"threshold_uncertainty_score":0.007199168,"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."}}