{"id":"W4312328889","doi":"10.1109/nano54668.2022.9928711","title":"Analog Resistance Switching in Single Tungsten Oxide Nanoparticle Devices","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 22nd International Conference on Nanotechnology (NANO)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Deutsche Forschungsgemeinschaft","keywords":"Materials science; Neuromorphic engineering; Tungsten; Electrode; Nanoparticle; Nanotechnology; Optoelectronics; Sputtering; Oxide; Nanolithography; Thin film; Fabrication; Computer science; Chemistry; Artificial neural network; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000218354,0.0002220592,0.0002440702,0.0004169201,0.0002103979,0.0000364663,0.00072418,0.0001015005,0.000314745],"category_scores_gemma":[0.00006650605,0.0002540225,0.00005426796,0.0005607674,0.00005334293,0.0002205033,0.0001837433,0.0007227182,0.00002496019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003501284,"about_ca_system_score_gemma":0.00003908692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174975,"about_ca_topic_score_gemma":0.0002562814,"domain_scores_codex":[0.9983694,0.00006202779,0.0004127431,0.0004252502,0.0003298795,0.000400721],"domain_scores_gemma":[0.9994189,0.00009226872,0.0001085927,0.0002870445,0.00004810997,0.00004505812],"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":[0.0000674237,0.00007112509,0.0004210741,0.00001242594,0.00002554725,0.00008407043,0.0001092254,0.03164308,0.9498718,0.01421652,0.00023117,0.003246573],"study_design_scores_gemma":[0.001099933,0.0002488153,0.0005131507,0.000130598,0.00001236978,0.0000655114,0.000914679,0.04023467,0.9324049,0.008967656,0.01472438,0.0006833035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908574,0.0001863456,0.001110177,0.001096618,0.001089018,0.0001567954,0.00002182444,0.0004549416,0.00502693],"genre_scores_gemma":[0.9984561,0.00004096773,0.0003379923,0.000352742,0.00004126141,0.00008234198,0.00001268365,0.00003212786,0.0006438305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746683,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725977072997047,"score_gpt":0.2539111720361314,"score_spread":0.2266514013061609,"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."}}