{"id":"W4415080948","doi":"10.48550/arxiv.2503.00101","title":"Modular-invariant random matrix theory and AdS${}_3$ wormholes","year":2025,"lang":"en","type":"preprint","venue":"ePrints Soton (University of Southampton)","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Japan Science and Technology Agency; Natural Sciences and Engineering Research Council of Canada; Université Paris-Saclay; HORIZON EUROPE Framework Programme; Government of the United Kingdom; Agence Nationale de la Recherche; UK Research and Innovation; National Science Foundation","keywords":"Wormhole; Random matrix; Lift (data mining); Semiclassical physics; Conformal field theory; Torus; Topology (electrical circuits); Matrix (chemical analysis); Conformal map","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006070604,0.0003989354,0.0007830021,0.0001459811,0.0002223826,0.00005389808,0.0006503039,0.0002528353,0.001728877],"category_scores_gemma":[0.00001461603,0.0004580962,0.0004400753,0.0001390222,0.0005761094,0.00009999326,0.002093709,0.0007799267,0.00008458663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003509341,"about_ca_system_score_gemma":0.0001559643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005501778,"about_ca_topic_score_gemma":0.000005889846,"domain_scores_codex":[0.9981515,0.0002582192,0.0002748427,0.0007137644,0.0002556106,0.000346095],"domain_scores_gemma":[0.998332,0.0002538063,0.0003313263,0.0007740845,0.0001301948,0.0001785499],"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":[0.0004193026,0.0001784001,0.002624986,0.0002155578,0.0004903639,0.000006324464,0.002272382,0.0002777961,0.00006397602,0.9875056,0.0001028978,0.005842428],"study_design_scores_gemma":[0.002345318,0.00002059576,0.003609869,0.0004646132,0.0003546845,4.827028e-7,0.004978639,0.0009857429,0.0003888759,0.9854547,0.0008618066,0.0005346099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6817757,0.0001503456,0.2674737,0.0003126158,0.0002987201,0.0007860179,0.0008729175,0.00009156296,0.04823839],"genre_scores_gemma":[0.9935991,0.00003656595,0.001567056,0.00002438999,0.0001191622,0.0000020076,0.0001205527,0.00002159883,0.004509574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3118234,"threshold_uncertainty_score":0.9997871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006014245484706205,"score_gpt":0.213854046990284,"score_spread":0.2078398015055778,"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."}}