{"id":"W2519395132","doi":"10.1103/physrevlett.118.036601","title":"Holography of the Dirac Fluid in Graphene with Two Currents","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Graphene research and applications","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Army Research Office; Gordon and Betty Moore Foundation; Cenovus Energy; National Research Foundation of Korea; Ontario Ministry of Research, Innovation and Science; Multidisciplinary University Research Initiative","keywords":"Graphene; Physics; Current (fluid); Holography; Plasma; Dirac (video compression format); Charge (physics); Current density; Condensed matter physics; Quantum mechanics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.000207386,0.00009174125,0.0002245394,0.00002771197,0.0001439955,0.0000305683,0.000764054,0.000003177118,0.00001262984],"category_scores_gemma":[0.00005627284,0.00004985903,0.0001274994,0.0002383403,0.0004570082,0.0001400379,0.0001167048,0.0001025812,0.00002634658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005836709,"about_ca_system_score_gemma":0.00001365515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009339649,"about_ca_topic_score_gemma":0.00001435932,"domain_scores_codex":[0.9990636,0.00008782392,0.0001421218,0.0002014136,0.0002850529,0.0002200143],"domain_scores_gemma":[0.9989201,0.00004459562,0.0001458293,0.000803939,0.00003019406,0.00005530209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001034698,0.0002343796,0.02736491,0.0003979037,0.000009522934,0.000001764652,0.00003266709,0.00001301632,0.9652545,0.002647704,0.001226799,0.002806501],"study_design_scores_gemma":[0.001198359,0.0001054521,0.8402759,0.004611362,0.000100703,0.000003576279,0.000007405157,0.0001125627,0.1446344,0.004067702,0.004440465,0.0004421116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920647,0.001068251,0.00004713815,0.00624792,0.00003047126,0.0003689581,0.00001205703,0.000008218416,0.0001522479],"genre_scores_gemma":[0.9973904,0.001378306,0.00009429664,0.000983456,0.00003084784,0.0001142897,0.000001332426,0.000006052399,0.000001053389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8206201,"threshold_uncertainty_score":0.2033192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027651306982942,"score_gpt":0.3533473118734947,"score_spread":0.3256960048905527,"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."}}