{"id":"W4385968122","doi":"10.48550/arxiv.2308.01903","title":"Solving Conformal Defects in 3D Conformal Field Theory using Fuzzy Sphere Regularization","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Ministry of Colleges and Universities; Institut Périmètre de physique théorique; Industry Canada; National Natural Science Foundation of China; Abdus Salam International Centre for Theoretical Physics; Government of Canada","keywords":"Conformal map; Fuzzy sphere; Primary field; Physics; Conformal field theory; Operator product expansion; Conformal symmetry; Scaling; Boundary conformal field theory; Regularization (linguistics); Operator (biology); Ising model; Fixed point; Theoretical physics; Mathematical physics; Mathematical analysis; Mathematics; Geometry; Quantum mechanics; Boundary value problem; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994436,0.0005114153,0.0006773598,0.0008150944,0.0005582598,0.0007014046,0.0008778981,0.001169501,0.001673124],"category_scores_gemma":[0.001280273,0.0002244617,0.0007766982,0.0003533635,0.001527596,0.001051286,0.001094088,0.001143224,0.0001402392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007260971,"about_ca_system_score_gemma":0.0007927903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003066411,"about_ca_topic_score_gemma":0.002886293,"domain_scores_codex":[0.9998228,0.00006461314,0.000007837574,0.00001919251,0.0000535046,0.00003207401],"domain_scores_gemma":[0.9996468,0.0001365774,0.00005564932,0.00005173225,0.00004353717,0.00006571466],"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":[0.0000585398,0.00004907068,0.00143681,0.00009926958,0.00003239485,0.0002270196,0.000130124,0.1133814,0.005524023,0.8711964,0.001179464,0.006685563],"study_design_scores_gemma":[0.00003059071,0.00002416066,0.0003424579,0.000009287269,0.000004617652,0.00005610766,0.00004646154,0.7685431,0.0008155908,0.2295948,0.0005174213,0.00001538858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6060542,0.0004141841,0.3700182,0.001155925,0.0001492299,0.00008014499,0.0001545554,0.000396945,0.02157649],"genre_scores_gemma":[0.922999,0.0002103318,0.07257766,0.0002242189,0.0001004546,0.00009483111,0.0001460739,0.000135877,0.003511559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066411,"threshold_uncertainty_score":0.006097138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566082588443132,"score_gpt":0.2002751341348779,"score_spread":0.1446143082504465,"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."}}