{"id":"W3088883037","doi":"10.1088/1361-6528/abb301","title":"Erratum: Conductive filament evolution dynamics revealed by cryogenic (1.5 K) multilevel switching of CMOS-compatible Al <sub>2</sub> O <sub>3</sub> /TiO <sub>2</sub> resistive memories (2020 <i>Nanotechnology</i> 31 445205)","year":2020,"lang":"en","type":"erratum","venue":"Nanotechnology","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Institut quantique; Université de Sherbrooke","funders":"","keywords":"Materials science; Protein filament; Resistive touchscreen; Electrical conductor; Nanotechnology; Resistive random-access memory; Dynamics (music); Optoelectronics; CMOS; Engineering physics; Condensed matter physics; Composite material; Electrical engineering; Physics; Engineering; Voltage; Acoustics","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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0005844412,0.002532193,0.003621533,0.001402065,0.0008555942,0.00009098319,0.002083547,0.00596029,0.000005956711],"category_scores_gemma":[0.001374669,0.002981714,0.0008088708,0.002692647,0.001054206,0.0006714354,0.001351172,0.009513772,0.0001097988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895704,"about_ca_system_score_gemma":0.0007235411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002661153,"about_ca_topic_score_gemma":0.0003300429,"domain_scores_codex":[0.9901897,0.0003263871,0.002809499,0.003013325,0.001112722,0.002548336],"domain_scores_gemma":[0.9943038,0.0005553594,0.001980154,0.002071845,0.0006984675,0.0003903959],"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":[0.000281937,0.0001584308,0.0000153179,0.0008683261,0.0006554981,0.0002156347,0.0002523525,0.004733669,0.8598859,0.0005437089,0.11904,0.01334917],"study_design_scores_gemma":[0.001912305,0.0007732892,0.00006044268,0.001239349,0.0005244637,0.0002321022,0.0005037377,0.02750577,0.9559505,0.004698185,0.004137097,0.002462789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149519,0.006886995,0.05114131,0.001470635,0.01676472,0.002636979,0.001011316,0.004819894,0.0003162146],"genre_scores_gemma":[0.9901021,0.004049426,0.001919931,0.0003713823,0.0007197061,0.0004376316,0.001512848,0.000671183,0.0002158257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149029,"threshold_uncertainty_score":0.9987414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008898235281948445,"score_gpt":0.2165827304043965,"score_spread":0.2076844951224481,"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."}}