{"id":"W2945740268","doi":"10.1002/aelm.201900098","title":"Directed Assembly of Nanoparticle Threshold‐Selector Arrays","year":2019,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Materials science; Nanoclusters; Electrical conductor; Nanotechnology; Nanoparticle; Resistive random-access memory; Surface modification; Silver nanoparticle; Silicon; Electrode; Optoelectronics; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001081437,0.000296587,0.0002757222,0.0002355671,0.0001491119,0.000341008,0.000329315,0.0003083554,0.0010256],"category_scores_gemma":[0.0002348016,0.0002458685,0.0001860898,0.0001460349,0.0001494936,0.0001814399,0.0002309399,0.0002907321,0.0005342415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004384044,"about_ca_system_score_gemma":0.0001945609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005033723,"about_ca_topic_score_gemma":0.001229962,"domain_scores_codex":[0.9998102,0.00001438191,0.00001417088,0.00005279774,0.00006088689,0.0000475432],"domain_scores_gemma":[0.9998734,0.00001993486,0.0000268107,0.00001743784,0.000031044,0.00003139973],"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":[0.00002216138,0.00001745987,0.00006034,0.00001717333,0.00000401539,0.00003404528,0.00001587727,0.0003939209,0.997201,0.0002327651,0.00009828282,0.001902991],"study_design_scores_gemma":[0.00001101591,0.00006864515,0.0002105455,0.000001811483,0.000004515521,0.00002699805,0.00000597119,0.005458669,0.99275,0.00004454335,0.001411403,0.000005860188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590888,0.0006832939,0.03167269,0.0001245816,0.0001285368,0.0001389943,0.0002280138,0.001130014,0.006805171],"genre_scores_gemma":[0.9691942,0.0003024845,0.02479914,0.00007939277,0.00001422147,0.0001054984,0.0002326643,0.00008575911,0.005186636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010256,"threshold_uncertainty_score":0.003430903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00569454775984327,"score_gpt":0.2197863088517133,"score_spread":0.21409176109187,"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."}}