{"id":"W3155275415","doi":"10.21468/scipostphys.11.3.072","title":"Navigator function for the conformal bootstrap","year":2021,"lang":"en","type":"preprint","venue":"SciPost Physics","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; European Commission; Fonds de recherche du Québec – Nature et technologies; San Diego Supercomputer Center; California Institute of Technology; Mitsubishi International Corporation; U.S. Department of Energy; Gordon and Betty Moore Foundation; Simons Foundation; European Research Council; National Science Foundation","keywords":"Conformal map; Function (biology); Space (punctuation); Property (philosophy); Ising model; Computer science; Binary number; Applied mathematics; Algorithm; Mathematics; Mathematical optimization; Mathematical analysis; Statistical physics; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.000861663,0.0003407664,0.0004570443,0.0000195529,0.0002564104,0.0002245791,0.0003992606,0.0002766615,0.00002494965],"category_scores_gemma":[0.0002355114,0.0002502593,0.0005533801,0.0001000374,0.00009879091,0.00009128451,0.0005171527,0.0006705341,2.451266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218646,"about_ca_system_score_gemma":0.000294082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001575282,"about_ca_topic_score_gemma":0.0000170061,"domain_scores_codex":[0.9984319,0.00009543663,0.0003793089,0.0004164596,0.0003298357,0.0003470101],"domain_scores_gemma":[0.9973104,0.0008809083,0.0003234308,0.001004981,0.0003930882,0.00008721276],"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":[0.0005432907,0.0007301952,0.0001316358,0.008463958,0.002918886,0.0000208609,0.008171291,0.00107664,0.004008547,0.5931488,0.05079392,0.329992],"study_design_scores_gemma":[0.00395372,0.0007154553,0.0002298703,0.002143007,0.005008916,0.00003895904,0.008297799,0.06136528,0.04843163,0.6577796,0.2082127,0.003823055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06890433,0.0009540119,0.9106634,0.0006541316,0.008387088,0.002722576,0.000382244,0.0002545248,0.007077714],"genre_scores_gemma":[0.8389112,0.0003514899,0.1315658,0.002143118,0.01282677,0.002433198,0.0013263,0.0004898992,0.009952186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7790976,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792016979596798,"score_gpt":0.4065791343731877,"score_spread":0.2273774364135079,"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."}}