{"id":"W4378800877","doi":"10.1145/3583781.3590325","title":"Statistical Weight Refresh System for CTT-Based Synaptic Arrays","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Neuromorphic engineering; Computer science; Threshold voltage; Trap (plumbing); Voltage; Capacitor; Electrical engineering; Transistor; Physics; Artificial neural network; Engineering; Artificial intelligence","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":[0.0001295443,0.0002586872,0.0002293282,0.0003032167,0.0003616988,0.0004275479,0.00129035,0.0003297498,0.003133434],"category_scores_gemma":[0.0006144052,0.0001285296,0.0001797239,0.0002509632,0.0001833327,0.0007855967,0.000452329,0.0003223317,0.0006183477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000341216,"about_ca_system_score_gemma":0.0002674336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00079,"about_ca_topic_score_gemma":0.00140773,"domain_scores_codex":[0.9998593,0.000009229102,0.00001599337,0.00003747281,0.00006078928,0.00001719609],"domain_scores_gemma":[0.9997155,0.00003173634,0.00004400281,0.00006325265,0.0001174262,0.00002811159],"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":[0.000550757,0.00023595,0.001773585,0.0001952946,0.0000610589,0.0005751226,0.0002124703,0.02246311,0.7532804,0.007195162,0.004274116,0.209183],"study_design_scores_gemma":[0.00006853232,0.0007314249,0.002397622,0.00003219062,0.0000758677,0.0008711075,0.00007537348,0.5738391,0.4081349,0.003978497,0.009726983,0.00006839592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4961478,0.001152144,0.4855236,0.0005971551,0.0005492818,0.0002528204,0.0004139693,0.005065916,0.01029742],"genre_scores_gemma":[0.9629699,0.0001505392,0.03312974,0.0001866965,0.00004279037,0.00007254154,0.0001031017,0.00006013262,0.003284643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003133434,"threshold_uncertainty_score":0.01048243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013749455358161,"score_gpt":0.2496767175129701,"score_spread":0.2295392229593885,"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."}}