{"id":"W4404570257","doi":"10.48550/arxiv.2411.10880","title":"Collective field theory of gauged multi-matrix models: Integrating out off-diagonal strings","year":2024,"lang":"en","type":"preprint","venue":"Open MIND","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Diagonal; Field (mathematics); Matrix (chemical analysis); Diagonal matrix; Theoretical physics; Statistical physics; Mathematics; Computer science; Physics; Mathematical economics; Pure mathematics; Geometry","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001657186,0.0003986842,0.0007187436,0.0001956601,0.0001190483,0.001117712,0.003676263,0.0003479616,0.00009945183],"category_scores_gemma":[0.0002179403,0.0003562087,0.000263155,0.0003248435,0.00005136106,0.0002078284,0.007433142,0.001095023,0.0001307644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923982,"about_ca_system_score_gemma":0.001802172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108844,"about_ca_topic_score_gemma":0.00007998935,"domain_scores_codex":[0.9970804,0.0003478468,0.0007681451,0.001059707,0.0003873807,0.0003565044],"domain_scores_gemma":[0.9974883,0.0006968151,0.0004953771,0.0009402432,0.0002679645,0.0001112842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002988374,0.0008795139,0.0001994797,0.001175283,0.001864875,0.0002951709,0.1401874,0.1217218,0.0007498596,0.07439294,0.01085388,0.647381],"study_design_scores_gemma":[0.0005699089,0.0001428856,0.00001717527,0.00229876,0.00006646932,0.00001725706,0.0006758759,0.9306266,0.002545881,0.05990174,0.002502344,0.0006351222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02507767,0.001579321,0.9192348,0.0002469212,0.002497425,0.001332401,0.0003095164,0.00003615468,0.04968586],"genre_scores_gemma":[0.8879362,0.000008313893,0.1002721,0.00002890244,0.0001310759,0.00005300514,0.00005108565,0.00002423647,0.01149499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8628586,"threshold_uncertainty_score":0.9999192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08674372881498185,"score_gpt":0.343705297798966,"score_spread":0.2569615689839841,"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."}}