{"id":"W3136365738","doi":"10.1039/d1nr01450a","title":"Graphene nanogaps for the directed assembly of single-nanoparticle devices","year":2021,"lang":"en","type":"article","venue":"Nanoscale","topic":"Graphene research and applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Clarendon Fund; Engineering and Physical Sciences Research Council; Royal Academy of Engineering; Canada First Research Excellence Fund; UK Research and Innovation","keywords":"Graphene; Nanotechnology; Materials science; Nanomaterials; Nanoparticle; Transistor; Coupling (piping); Electrode; Electrical engineering; Voltage; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555979,0.00007190883,0.0001253089,0.00002519226,0.000210608,0.00005513413,0.0002465711,0.00003568402,0.0001534956],"category_scores_gemma":[0.0001856728,0.0000501185,0.00008646273,0.0004483123,0.0001175908,0.0000792607,0.00006360754,0.00003319251,0.00002241493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009600782,"about_ca_system_score_gemma":0.00007520949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004804812,"about_ca_topic_score_gemma":0.0003010346,"domain_scores_codex":[0.9990484,0.00006092478,0.0001884297,0.0002052092,0.0002261399,0.0002708769],"domain_scores_gemma":[0.9988098,0.0004347143,0.00006667053,0.0003395304,0.0002798567,0.00006948156],"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":[0.00001410573,0.0001488103,0.0005263141,0.0000203555,0.000008213608,4.236311e-7,0.00004632861,0.000007111369,0.9945914,0.001755799,0.001869877,0.001011316],"study_design_scores_gemma":[0.0002355844,0.00005016237,0.004117916,0.00001282977,0.00001801531,0.000001621601,0.0001179196,0.0001408191,0.9842651,0.001048794,0.00992956,0.00006160665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952676,0.000901569,0.001447338,0.001473431,0.0001110331,0.0002536937,0.00006584375,0.00006342421,0.0004160603],"genre_scores_gemma":[0.9969022,0.00002979836,0.002447353,0.00007588651,0.00003784748,0.0001413493,0.000008291489,0.000009665843,0.0003476042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032618,"threshold_uncertainty_score":0.2043773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492090297808197,"score_gpt":0.2935204413394709,"score_spread":0.2585995383613889,"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."}}