{"id":"W4408765236","doi":"10.1002/aelm.202400807","title":"Emulation of Synaptic Plasticity in WO<sub>3</sub>‐Based Ion‐Gated Transistors","year":2025,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Oak Ridge National Laboratory; Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Office of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Energy","keywords":"Emulation; Materials science; Transistor; Ion; Nanotechnology; Optoelectronics; Thin-film transistor; Engineering physics; Electrical engineering; Voltage; Engineering; Psychology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001040683,0.0001821933,0.0003435567,0.0001742566,0.00003899,0.000007591804,0.0001008221,0.00008125415,0.00001661325],"category_scores_gemma":[0.00005884728,0.0002006811,0.0000389745,0.0003661623,0.00002615955,0.0001295155,0.0000102396,0.0001396245,0.000003351585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204718,"about_ca_system_score_gemma":0.0000508153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002391837,"about_ca_topic_score_gemma":0.0000271789,"domain_scores_codex":[0.9988043,0.00005172938,0.0004463621,0.000206051,0.0000838331,0.0004077675],"domain_scores_gemma":[0.9995981,0.0001464186,0.000066669,0.0001344435,0.00002828037,0.00002604573],"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":[0.00008597443,0.00001220546,0.000008511963,0.0001477442,0.00001316521,0.000001365964,0.00001453086,0.3403975,0.6572161,0.0004536115,0.0000015742,0.001647681],"study_design_scores_gemma":[0.0007332803,0.00005793239,0.0004597904,0.0002021569,0.0000162295,9.076811e-7,0.000005767473,0.008061714,0.9890143,0.001218473,0.00006990995,0.0001595887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644608,0.0001863671,0.03452152,0.00001447266,0.0002935217,0.0002554484,0.000007175652,0.0001993529,0.00006128074],"genre_scores_gemma":[0.9997022,0.00005196824,0.0001387681,0.00002607184,0.00001811635,0.00001782336,0.00001729835,0.00002308566,0.000004687779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323358,"threshold_uncertainty_score":0.818354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004756571884427007,"score_gpt":0.2172189325506965,"score_spread":0.2124623606662695,"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."}}