{"id":"W3102335399","doi":"","title":"BMN Correlators by Loop Equations","year":2002,"lang":"en","type":"article","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Genus; Loop (graph theory); Dimension (graph theory); Gaussian; Mathematics; Zero (linguistics); Class (philosophy); Mathematical physics; Order (exchange); Matrix (chemical analysis); Applied mathematics; Pure mathematics; Physics; Combinatorics; Quantum mechanics; Computer science; Artificial intelligence; Finance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001377426,0.0009949043,0.0007670558,0.002205957,0.001100073,0.001910984,0.001710947,0.001287894,0.005710982],"category_scores_gemma":[0.005038748,0.0004849193,0.001039684,0.001328271,0.00258521,0.003594812,0.002015145,0.001855815,0.0008693116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599808,"about_ca_system_score_gemma":0.0008647137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129374,"about_ca_topic_score_gemma":0.001546259,"domain_scores_codex":[0.9991413,0.0003150305,0.0000378041,0.00008375633,0.0003066093,0.0001155511],"domain_scores_gemma":[0.9988238,0.0004019563,0.0002067657,0.0001936314,0.0002245999,0.0001491354],"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":[0.00002879459,0.00002907312,0.00026769,0.00004415219,0.00000659198,0.0001909161,0.0001629837,0.006703971,0.00190105,0.9866369,0.0005017694,0.003526151],"study_design_scores_gemma":[0.00002118612,0.00002251116,0.0003819439,0.00003216656,0.00000763988,0.0002255697,0.0000360455,0.1358244,0.001589154,0.8602788,0.001546904,0.00003348643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5596015,0.001171885,0.3321887,0.001338148,0.0004354865,0.0001639015,0.000204002,0.001779449,0.1031169],"genre_scores_gemma":[0.9155253,0.0005110725,0.05753111,0.0005794835,0.0003545065,0.0001842395,0.000214461,0.0009065981,0.02419322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005710982,"threshold_uncertainty_score":0.01910514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05647303596135567,"score_gpt":0.2997165823703933,"score_spread":0.2432435464090376,"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."}}