{"id":"W4323555945","doi":"10.48550/arxiv.2303.02250","title":"Visualizing near-coexistence of massless Dirac electrons and ultra-massive saddle point electrons","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; German-Israeli Foundation for Scientific Research and Development; Israel Science Foundation; Weizmann Institute of Science","keywords":"Brillouin zone; Physics; Dirac (video compression format); Saddle point; Condensed matter physics; Dirac fermion; Van Hove singularity; Electron; Scanning tunneling microscope; Helical Dirac fermion; Quantum mechanics; Dirac spinor; Graphene; Geometry; Fermi level","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005454427,0.0001144546,0.0000951555,0.000500127,0.0001801446,0.0003269145,0.0001659157,0.00030342,0.002134686],"category_scores_gemma":[0.0001416051,0.00009697086,0.00008110619,0.000247177,0.0002691056,0.0003064764,0.000323854,0.0004056219,0.0001193147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453112,"about_ca_system_score_gemma":0.00007415645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002534924,"about_ca_topic_score_gemma":0.000400213,"domain_scores_codex":[0.9999832,0.000002812211,6.93028e-7,0.000003261242,0.000005331989,0.00000466154],"domain_scores_gemma":[0.9999413,0.00002007633,0.00001093504,0.000006835293,0.000006107311,0.00001466221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006259918,0.0002617236,0.01891732,0.0003245061,0.00007453626,0.003453676,0.001444533,0.0271753,0.7856998,0.1298568,0.003561514,0.02860439],"study_design_scores_gemma":[0.000112154,0.0003808985,0.1196577,0.0001459436,0.00005268864,0.004433707,0.002049178,0.4978039,0.2025428,0.1605243,0.01222251,0.00007420431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875569,0.0001624211,0.00677766,0.0001442001,0.00001491178,0.00000461169,0.0001190023,0.000154166,0.005066113],"genre_scores_gemma":[0.9961529,0.00005151846,0.003012678,0.00001740401,0.000004016314,0.000003392303,0.00006863265,0.00001548443,0.0006738671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134686,"threshold_uncertainty_score":0.007141232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06798594658578072,"score_gpt":0.2154627337204256,"score_spread":0.1474767871346448,"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."}}