{"id":"W4296242378","doi":"10.1016/j.matchar.2022.112313","title":"Quantification of the dielectric constant of MoS2 and WSe2 Nanosheets by electrostatic force microscopy","year":2022,"lang":"en","type":"article","venue":"Materials Characterization","topic":"2D Materials and Applications","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Dielectric; Characterization (materials science); Materials science; Permittivity; Electrostatic force microscope; Electrostatics; Cantilever; Work (physics); Constant (computer programming); Nanotechnology; Optoelectronics; Composite material; Thermodynamics; Computer science; Physics; Chemistry; 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":[0.0002081677,0.0003373055,0.0001485266,0.0004346135,0.000250214,0.0004095075,0.000218234,0.0003885912,0.001116093],"category_scores_gemma":[0.0003462784,0.0001891486,0.000123178,0.0003425763,0.0002422026,0.0004514109,0.0002349919,0.000359031,0.0002361509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159949,"about_ca_system_score_gemma":0.0001644841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183002,"about_ca_topic_score_gemma":0.002124833,"domain_scores_codex":[0.9998537,0.00001024939,0.000009602717,0.0000382824,0.00005882883,0.00002912844],"domain_scores_gemma":[0.9998152,0.00005789792,0.00003533849,0.00001449336,0.00005679805,0.00002030275],"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":[0.00002017681,0.00000618067,0.0001784566,0.00001291799,0.000003674415,0.00001316597,0.000009627898,0.00004239303,0.9991855,0.00006498091,0.0000366796,0.0004263003],"study_design_scores_gemma":[0.000004078121,0.0000217039,0.004741581,0.000001785782,0.000004761231,0.00003856117,0.00003308052,0.002008284,0.9925138,0.00005280694,0.0005741252,0.000005529523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906963,0.0003606804,0.006660956,0.00008139837,0.00002669073,0.00001531085,0.0006427037,0.0001086592,0.001407249],"genre_scores_gemma":[0.9890308,0.0003873921,0.00755511,0.00008257783,0.00001597291,0.00004932368,0.0005847506,0.00003268068,0.002261528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001183002,"threshold_uncertainty_score":0.003733695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006408918608533,"score_gpt":0.2211524922717603,"score_spread":0.2147435736632273,"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."}}