{"id":"W2907392033","doi":"10.1080/21663831.2018.1561535","title":"<i>Operando</i> diagnostic detection of interfacial oxygen ‘breathing’ of resistive random access memory by bulk-sensitive hard X-ray photoelectron spectroscopy","year":2019,"lang":"en","type":"article","venue":"Materials Research Letters","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Resistive random-access memory; X-ray photoelectron spectroscopy; Materials science; Synchrotron radiation; Oxygen; Synchrotron; Tin; Oxide; Resistive touchscreen; Tin oxide; Photoemission spectroscopy; Nanotechnology; Spectroscopy; Analytical Chemistry (journal); Optoelectronics; Electrode; Optics; Nuclear magnetic resonance; Computer science; Chemistry; Physics; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009332463,0.0002354108,0.0001336656,0.0002684785,0.0001312095,0.0003049585,0.0003174495,0.000351852,0.00163422],"category_scores_gemma":[0.0002738378,0.0001122347,0.00007412507,0.0001563324,0.0003498975,0.0002816718,0.0002215984,0.0003180232,0.0002147736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189934,"about_ca_system_score_gemma":0.00004632157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003210228,"about_ca_topic_score_gemma":0.0003759574,"domain_scores_codex":[0.999928,0.000009931076,0.000004373857,0.00002183592,0.00002024539,0.00001558829],"domain_scores_gemma":[0.9998889,0.00003763002,0.00003410978,0.00001297101,0.00001691088,0.000009524771],"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":[0.0001332616,0.00001757425,0.0007528065,0.0000351774,0.000004113656,0.0001692794,0.00004475545,0.00006527716,0.9951578,0.0001801862,0.0002158139,0.003224026],"study_design_scores_gemma":[0.000006450996,0.00008651042,0.005120794,0.000005225242,0.000006816678,0.000261812,0.00005534681,0.002051101,0.9916248,0.0001375907,0.0006352562,0.000008221919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913162,0.0004195645,0.004679551,0.0001636188,0.00002931739,0.000009098002,0.0002929457,0.0001861625,0.002903576],"genre_scores_gemma":[0.996207,0.000135128,0.002568517,0.00006107977,0.00001199655,0.00001038178,0.0001159725,0.00001775381,0.0008721003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00163422,"threshold_uncertainty_score":0.005466998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174022657758089,"score_gpt":0.2840558899907799,"score_spread":0.266653624214971,"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."}}