{"id":"W4384823606","doi":"10.1021/acsmaterialslett.3c00088","title":"From Spintronic Memristors to Quantum Computing","year":2023,"lang":"en","type":"article","venue":"ACS Materials Letters","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Fujian Normal University","keywords":"Memristor; Spintronics; Scalability; Computer science; Quantum computer; Electrical engineering; Quantum; Engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001314114,0.000165692,0.0002151887,0.00008959819,0.00008468729,0.00005267051,0.0001870208,0.00003687107,0.00004846395],"category_scores_gemma":[0.00002835067,0.0001756096,0.00002916449,0.0002134418,0.00001368867,0.00009003314,0.00009545899,0.00008254324,0.0008684256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005966058,"about_ca_system_score_gemma":0.000002889677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002308999,"about_ca_topic_score_gemma":0.000001033551,"domain_scores_codex":[0.9990031,0.00002963107,0.00024212,0.0002187494,0.0001066891,0.0003997816],"domain_scores_gemma":[0.9996002,0.0000843443,0.00002996882,0.0002066796,0.000006946048,0.00007181019],"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":[0.000005589356,0.000001208602,0.00000968685,0.00002096081,0.00001263238,0.00002768119,0.0002470134,0.07038707,0.9228585,0.00004054727,0.005742757,0.0006463095],"study_design_scores_gemma":[0.0001814537,0.00001674591,0.00115678,0.00006864921,0.00000931249,0.000002857387,0.00006808467,0.001708817,0.9920548,0.0002396165,0.004173633,0.0003192344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899852,0.00001744433,0.004771614,0.0007593217,0.003065528,0.0001229205,0.00001774609,0.00124033,0.00001986119],"genre_scores_gemma":[0.9974372,0.000005032474,0.0004808661,0.001039112,0.000938212,0.00000518086,0.00003433261,0.00005085164,0.000009193963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06919627,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417900545834573,"score_gpt":0.2376476393019044,"score_spread":0.2234686338435586,"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."}}