{"id":"W4391481803","doi":"10.1016/j.orgel.2024.107002","title":"Resistive switching kinetics of electrolyte-gated polyaniline-based memristive devices","year":2024,"lang":"en","type":"article","venue":"Organic Electronics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Russian Foundation for Basic Research","keywords":"Memristor; Neuromorphic engineering; Polyaniline; Materials science; Switching time; Resistive random-access memory; Nanotechnology; Electrical conductor; Optoelectronics; Conductive polymer; Ranging; Electrode; Computer science; Polymer; Electronic engineering; Chemistry; Artificial neural network; Engineering; Telecommunications; Artificial intelligence; Polymerization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171462,0.0002429649,0.000260786,0.00012525,0.00005493647,0.00003136435,0.0001920242,0.0001001438,0.0000520005],"category_scores_gemma":[0.00005708989,0.0002420927,0.00007046039,0.0006570664,0.00002223001,0.0001026139,0.00002533024,0.0005516106,0.00002065213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390313,"about_ca_system_score_gemma":0.000104387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001970966,"about_ca_topic_score_gemma":0.00004046666,"domain_scores_codex":[0.9987057,0.00003204675,0.0003277225,0.0002699187,0.0001744092,0.0004901672],"domain_scores_gemma":[0.9993731,0.0002512175,0.00004835345,0.0001991915,0.00006471957,0.00006335282],"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":[0.00002744744,0.00001679218,0.000008485849,0.0001845378,0.00007231517,0.00001641443,0.00008043498,0.008319437,0.9857596,0.0008256274,0.00009584169,0.004593054],"study_design_scores_gemma":[0.0001796954,0.0002423934,0.00003485665,0.0001173318,0.00006311789,0.00001225122,0.00001903925,0.07089253,0.9239864,0.0004123115,0.003804928,0.0002351648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218065,0.02407221,0.1510626,0.0001469784,0.0003610216,0.0002575968,0.00001308234,0.001352239,0.0009277913],"genre_scores_gemma":[0.9987019,0.0001936511,0.0007576789,0.00005228427,0.0001195217,0.000002634542,0.00001963684,0.00008829529,0.00006443329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768954,"threshold_uncertainty_score":0.9872255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005580860009568259,"score_gpt":0.2204103950931709,"score_spread":0.2148295350836026,"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."}}