{"id":"W3132924536","doi":"10.1007/jhep06(2021)094","title":"Bending the Bruhat-Tits tree. Part I. Tensor network and emergent Einstein equations","year":2021,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"advanced mathematical theories","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Institut Périmètre de physique théorique; National Natural Science Foundation of China","keywords":"Einstein; Einstein tensor; Tensor (intrinsic definition); Einstein's constant; Metric (unit); Metric tensor; Tensor contraction; Tensor field; Riemann curvature tensor","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":[0.0003666353,0.000269879,0.0002161161,0.0006117104,0.0007152461,0.001027755,0.0003881369,0.0008917867,0.003399779],"category_scores_gemma":[0.000976911,0.0001998958,0.0003610162,0.0003991821,0.002772003,0.003263371,0.0008030155,0.001127071,0.0004647122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000903263,"about_ca_system_score_gemma":0.0002629466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154256,"about_ca_topic_score_gemma":0.001046232,"domain_scores_codex":[0.9998091,0.00005409693,0.000007461486,0.0000433069,0.00005854184,0.00002751806],"domain_scores_gemma":[0.9997326,0.00006533074,0.00005549621,0.00006347441,0.00004042305,0.00004274838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002506949,0.000002268238,0.00004849402,0.000007972557,8.012173e-7,0.00002153457,0.00004718589,0.00126696,0.0006450912,0.9966797,0.0003040418,0.0009734558],"study_design_scores_gemma":[0.00000192069,0.000005234763,0.0001766887,0.000004850524,8.926513e-7,0.00006088873,0.00002403595,0.006730899,0.0001515507,0.9914316,0.001407859,0.000003622934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4728379,0.003219327,0.3113086,0.006546503,0.000537172,0.00007774253,0.0003001282,0.0003874854,0.2047851],"genre_scores_gemma":[0.9591598,0.0009271274,0.02244931,0.0004686294,0.0002655411,0.00004087944,0.0001291135,0.00008011251,0.01647955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003399779,"threshold_uncertainty_score":0.0113734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570693312751892,"score_gpt":0.2930091330990401,"score_spread":0.2473021999715212,"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."}}