{"id":"W4405300871","doi":"10.48550/arxiv.2412.07837","title":"Coarse-grained Bootstrap of Quantum Many-body Systems","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Advanced Cyberinfrastructure; Institut Périmètre de physique théorique; Universidad Complutense de Madrid; National Science Foundation; Yale University; U.S. Department of Energy","keywords":"Quantum; Computer science; Statistical physics; Physics; Quantum mechanics","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":[0.0003867417,0.0006576042,0.00102146,0.0004747666,0.0001094265,0.0001477545,0.001075916,0.0003440925,0.0002170314],"category_scores_gemma":[0.000007195904,0.0007317632,0.000689462,0.0005586853,0.0002379314,0.0001186942,0.001260221,0.001025664,0.0005126391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585031,"about_ca_system_score_gemma":0.0003594892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00308461,"about_ca_topic_score_gemma":0.000003356276,"domain_scores_codex":[0.9970298,0.0002326873,0.0006650907,0.001298533,0.0001990476,0.0005748734],"domain_scores_gemma":[0.9972875,0.0001219397,0.0006807281,0.001433928,0.000238443,0.0002375078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004180205,0.0001411227,0.00433952,0.001000771,0.0007526475,0.0001429062,0.0001795281,0.02703274,0.0002802748,0.9641672,0.001890307,0.00003113514],"study_design_scores_gemma":[0.0005942095,0.00007735867,0.0002605222,0.0009078803,0.000522596,0.000002966058,0.001463233,0.9355764,0.0001881011,0.05785862,0.001789588,0.0007585123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751596,0.0003532143,0.09537239,0.00004105459,0.003630521,0.001129505,0.0007255984,0.000297603,0.02329046],"genre_scores_gemma":[0.9911931,0.00001417038,0.0000140857,0.000005293009,0.0006079056,0.000006860002,0.0001616754,0.00009913185,0.0078978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9085436,"threshold_uncertainty_score":0.9995133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06316957556124997,"score_gpt":0.2054069216914882,"score_spread":0.1422373461302383,"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."}}