{"id":"W2604145830","doi":"10.1063/1.4978664","title":"Fully inkjet printed flexible resistive memory","year":2017,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Bayerische Forschungsallianz; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Resistive random-access memory; Materials science; PEDOT:PSS; Polystyrene sulfonate; Non-volatile memory; Polystyrene; Optoelectronics; Nanotechnology; Voltage; Sintering; Layer (electronics); Electrical conductor; Electrical engineering; Composite material; Polymer","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":[0.00005121343,0.0001746567,0.0001667052,0.00001980828,0.0003232912,0.00006320742,0.0002891733,0.00003439266,0.000007009279],"category_scores_gemma":[0.000007757096,0.0001879566,0.00004985608,0.00004827088,0.00007919283,0.0001520439,0.00009654841,0.0002601576,0.00009383964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000374168,"about_ca_system_score_gemma":0.000004883677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002143645,"about_ca_topic_score_gemma":5.684129e-7,"domain_scores_codex":[0.9992692,0.000005875223,0.0001252959,0.0002123734,0.0001110925,0.0002761953],"domain_scores_gemma":[0.9992993,0.00004271725,0.00006492626,0.0005244721,0.00001223042,0.00005636961],"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":[0.00002005892,0.00000825337,0.00002888949,0.00003969431,0.00003431702,0.00001052482,0.0001586092,0.05979262,0.9199426,0.002575173,0.001537175,0.01585212],"study_design_scores_gemma":[0.0005016395,0.000008657794,0.00244666,0.00003450099,0.00001827945,0.000001790003,0.00003518761,0.001206064,0.9919373,0.001250512,0.002144237,0.0004151863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340612,0.00001158889,0.03461117,0.0001967247,0.0003572463,0.0001953325,0.000004149178,0.0005129976,0.03004965],"genre_scores_gemma":[0.9976052,0.000002919869,0.001170689,0.0006432056,0.0004337409,0.00001942765,0.000006957251,0.00004137824,0.00007647584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07199472,"threshold_uncertainty_score":0.7664648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946753533904162,"score_gpt":0.2391057982594315,"score_spread":0.2196382629203899,"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."}}