{"id":"W4308434872","doi":"10.1103/physrevapplied.18.054017","title":"Charge Detection Using a van der Waals Heterostructure Based on Monolayer <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mi>WSe</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>","year":2022,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Graphene research and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"van der Waals force; Charge (physics); Heterojunction; Quantum dot; Qubit; Monolayer; Quantum computer; Physics; Semiconductor; Condensed matter physics; Quantum; Optoelectronics; Materials science; Quantum mechanics; Nanotechnology; Molecule","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008246613,0.0004082004,0.0003297287,0.0001195141,0.00114244,0.0003295137,0.0008124705,0.0002257535,0.004532636],"category_scores_gemma":[0.0002215498,0.0005198617,0.0006523884,0.0007335563,0.0002412514,0.0002922864,0.000608932,0.0007262231,0.001155553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002909562,"about_ca_system_score_gemma":0.0003205308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373493,"about_ca_topic_score_gemma":0.00004593177,"domain_scores_codex":[0.9958661,0.0002052593,0.0006606911,0.0009682748,0.001326561,0.0009731074],"domain_scores_gemma":[0.9973922,0.000373665,0.0005655921,0.00118691,0.00006311578,0.0004184788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002702225,0.0002815472,0.000002136593,0.0009048093,0.0001008764,0.0000335863,0.0001464482,0.0008413942,0.3713354,0.6215561,0.00240733,0.002120162],"study_design_scores_gemma":[0.0006303797,0.0003569589,0.00003883459,0.0004272836,0.0003111468,0.0000537102,0.00005984918,0.1721656,0.8180978,0.001364702,0.005944776,0.0005489691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992413,0.0008038797,0.001394859,0.0003196553,0.0003007601,0.0001881588,0.0002463174,0.0001471282,0.004186267],"genre_scores_gemma":[0.9941407,0.0004885847,0.0008829143,0.001431952,0.0005472198,0.002052834,0.0002756106,0.0001645732,0.00001562646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6201915,"threshold_uncertainty_score":0.9997253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238455690584545,"score_gpt":0.2755823529924578,"score_spread":0.2531977960866124,"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."}}