{"id":"W2952132074","doi":"10.48550/arxiv.1410.8279","title":"Quark number density at imaginary chemical potential and its extrapolation to large real chemical potential by the effective model","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Physics; Quark; Extrapolation; Hadron; Quantum chromodynamics; Particle physics; Fermion; Lattice QCD; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003028503,0.000327045,0.0003257103,0.00006339741,0.0003720783,0.00008266883,0.0004771961,0.0002212983,0.0001151019],"category_scores_gemma":[0.00001751174,0.0003133638,0.0002017385,0.0002200815,0.0001340983,0.0001474131,0.001974243,0.0007840571,0.0001405371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227195,"about_ca_system_score_gemma":0.00008514055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287868,"about_ca_topic_score_gemma":0.000005373388,"domain_scores_codex":[0.9978856,0.0002836513,0.0001823636,0.0009397434,0.0001892949,0.0005193526],"domain_scores_gemma":[0.9986861,0.0001144137,0.0001073882,0.0005494696,0.0002108147,0.0003317539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001507934,0.0008506668,0.02586342,0.00007312011,0.0005166139,0.00009437551,0.0004858577,0.7248535,0.184147,0.05675218,0.004548376,0.0003069365],"study_design_scores_gemma":[0.0008291901,0.00001994996,0.001083214,0.00002222696,0.0001271,0.000003317704,0.00003766885,0.9842364,0.0111183,0.002127591,0.00004924523,0.0003457917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042961,0.000007366039,0.09377266,0.0000926563,0.00008343354,0.0005038672,0.0001433907,0.0000432614,0.001057264],"genre_scores_gemma":[0.9983971,0.000007330573,0.00009327682,0.000009302638,0.0002151043,0.000009261711,0.0001687204,0.0000327486,0.001067138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2593829,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780189290432675,"score_gpt":0.2169022446719178,"score_spread":0.199100351767591,"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."}}