{"id":"W4401585480","doi":"10.1063/5.0219013","title":"Nanocomposites of ferrocenyl-modified gold clusters and semiconducting polymers that integrate field-effect transistor and flash memory in a single neuromorphic device","year":2024,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Neuromorphic engineering; Memristor; Materials science; Nanoclusters; Transistor; Nanotechnology; Nanocomposite; Optoelectronics; Polymer; Flash memory; Resistive touchscreen; Field-effect transistor; Electronic engineering; Computer science; Voltage; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276836,0.0002158686,0.0003088543,0.00008298847,0.00006898893,0.0001136754,0.0001585479,0.00005626469,0.000007512437],"category_scores_gemma":[0.00000607714,0.0001950954,0.0000502479,0.0002214161,0.0001337021,0.0001609228,0.00006389925,0.0001816845,0.000005721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002940977,"about_ca_system_score_gemma":0.00001410804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079212,"about_ca_topic_score_gemma":0.00002023156,"domain_scores_codex":[0.9988647,0.00007006101,0.0002372663,0.000453725,0.0001373874,0.0002368378],"domain_scores_gemma":[0.9990806,0.0005786092,0.00007918472,0.0001963941,0.000008012541,0.00005719005],"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":[0.00003006952,0.00002953098,0.00003984952,0.0002452866,0.00001308453,0.000003604002,0.001303397,0.00007398582,0.9893117,0.0002792528,0.0001405332,0.008529722],"study_design_scores_gemma":[0.000302246,0.00003511764,0.0000442699,0.0001396104,0.00005199971,0.000007685898,0.0001639269,0.0006076813,0.9982866,0.00004761164,0.0001108129,0.0002024503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965335,0.0002853077,0.001006641,0.00115795,0.000121524,0.0003686709,0.00001219534,0.00006172281,0.0004524993],"genre_scores_gemma":[0.9985263,0.000008049654,0.0003512603,0.0009326788,0.00005608668,0.00007400037,0.000004956357,0.00002912598,0.00001751061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008974903,"threshold_uncertainty_score":0.795576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545484529422413,"score_gpt":0.2294212814569844,"score_spread":0.2039664361627603,"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."}}