{"id":"W3023580497","doi":"10.1016/j.ultramic.2020.113012","title":"Conductivity models for electron energy loss spectroscopy of graphene in a scanning transmission electron microscope with high energy resolution","year":2020,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Electron energy loss spectroscopy; Materials science; Plasmon; Spectroscopy; Scanning transmission electron microscopy; Ab initio; Terahertz radiation; Molecular physics; Optoelectronics; Optics; Transmission electron microscopy; Chemistry; Nanotechnology; Physics","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":[0.0004468155,0.0007175322,0.0005120302,0.0008911102,0.0004933663,0.001020168,0.001694035,0.001592873,0.002418884],"category_scores_gemma":[0.001342006,0.0003715967,0.0006391905,0.0005077227,0.0006216857,0.002054553,0.0004340386,0.0009279237,0.001167309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009910177,"about_ca_system_score_gemma":0.0004979954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698811,"about_ca_topic_score_gemma":0.00232882,"domain_scores_codex":[0.9997242,0.00005520337,0.00001128589,0.00004311618,0.0001279768,0.00003819561],"domain_scores_gemma":[0.9997118,0.0001107343,0.00002796386,0.00006419001,0.00006919506,0.00001597046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001276784,0.0001940612,0.0007622615,0.000313894,0.00005586267,0.0004058272,0.0003335663,0.3386822,0.1772795,0.4604329,0.005073197,0.01633913],"study_design_scores_gemma":[0.000004474128,0.00001031454,0.0001546897,0.00001341286,0.00000561651,0.00007818911,0.0000252178,0.9608709,0.01001353,0.02739971,0.001411708,0.00001229273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04470048,0.0008417109,0.9298572,0.0005740811,0.0001331413,0.0001109785,0.0003285911,0.0007687653,0.02268507],"genre_scores_gemma":[0.7986574,0.001904515,0.1536197,0.0006387031,0.00007816443,0.0005494682,0.0007221493,0.0006177101,0.04321213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002418884,"threshold_uncertainty_score":0.008091927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005845652356001371,"score_gpt":0.2043982315547616,"score_spread":0.1985525791987602,"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."}}