{"id":"W2999084662","doi":"10.1002/adma.202070010","title":"Memristive Switching: Magneto‐Memristive Switching in a 2D Layer Antiferromagnet (Adv. Mater. 2/2020)","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spintronics; Neuromorphic engineering; Materials science; Magnetism; Memristor; Antiferromagnetism; Nanotechnology; Nanoscopic scale; Tunnel magnetoresistance; Condensed matter physics; Layer (electronics); Ferromagnetism; Electrical engineering; Computer science; Physics; Engineering; Artificial neural network","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":[0.0001394685,0.0001974407,0.0001105431,0.0002394171,0.0002128048,0.0004713903,0.0003008664,0.0003667409,0.001335956],"category_scores_gemma":[0.0001280575,0.0001570947,0.000170989,0.0001000436,0.0003521733,0.000381671,0.0002338917,0.0002739101,0.0002373841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066854,"about_ca_system_score_gemma":0.00008201171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365759,"about_ca_topic_score_gemma":0.0003970076,"domain_scores_codex":[0.9999475,0.000004591066,0.000002676225,0.00001536417,0.00001653389,0.00001324775],"domain_scores_gemma":[0.9999671,0.000009293595,0.000008503455,0.000004252001,0.000004584375,0.000006411709],"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":[0.0000841339,0.00003232049,0.00009983185,0.00006512298,0.00001062584,0.0001756792,0.00004842372,0.0002894301,0.9890376,0.002894261,0.0008596972,0.006402874],"study_design_scores_gemma":[0.00004602508,0.0001988222,0.000831614,0.000007420659,0.00001171236,0.0004100275,0.00002154702,0.00732914,0.9817629,0.0006962959,0.008664447,0.00002003569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753914,0.002060536,0.008706112,0.0006769556,0.0006959186,0.00006895122,0.0001160375,0.0004406093,0.01184354],"genre_scores_gemma":[0.987917,0.0005320786,0.006029465,0.0001694897,0.00007803499,0.00002821904,0.00006183911,0.00002354324,0.005160202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335956,"threshold_uncertainty_score":0.004469216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722568444981864,"score_gpt":0.2449441688589812,"score_spread":0.2277184844091625,"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."}}