{"id":"W4393177985","doi":"10.48550/arxiv.2403.14851","title":"Edge currents as probe of topology in twisted cuprate bilayers","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada First Research Excellence Fund; Aspen Center for Physics; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Cuprate; Enhanced Data Rates for GSM Evolution; Topology (electrical circuits); Physics; Materials science; Condensed matter physics; Computer science; Electrical engineering; Telecommunications; Superconductivity; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005642696,0.0001479852,0.0001951779,0.0002429849,0.00001208663,0.00001449549,0.0002527858,0.0001432155,0.0001530274],"category_scores_gemma":[0.00001128961,0.0001796156,0.00006189513,0.0004170797,0.00006694725,0.00003390927,0.0002780996,0.0002816705,0.0001531374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007430656,"about_ca_system_score_gemma":0.00005111154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000492318,"about_ca_topic_score_gemma":0.00002651403,"domain_scores_codex":[0.9993126,0.00002387906,0.0001913918,0.0002950333,0.00003038489,0.0001466564],"domain_scores_gemma":[0.999522,0.0000227979,0.00005026625,0.0003128017,0.00003809746,0.0000540699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008876004,0.0004455907,0.01194538,0.002410587,0.0002257762,0.0001797656,0.001135,0.7424943,0.04822586,0.1866305,0.001071297,0.005147177],"study_design_scores_gemma":[0.001692387,0.0001000391,0.01005873,0.0007356219,0.0002601409,0.000007584507,0.00043359,0.8436489,0.03343497,0.10145,0.006969485,0.001208545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944506,0.0001317738,0.001503449,0.00006091869,0.00035011,0.0002601167,0.00002966485,0.0001582749,0.003055105],"genre_scores_gemma":[0.9989797,0.0002335531,0.00005616029,0.000009977732,0.00002070373,0.000003163639,0.00002966333,0.0000192354,0.0006478025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011547,"threshold_uncertainty_score":0.7324513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447737372478808,"score_gpt":0.1964408853329259,"score_spread":0.1516671480850451,"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."}}