{"id":"W2887387095","doi":"10.1103/physrevb.99.035120","title":"Algorithmic Matsubara integration for Hubbard-like models","year":2019,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hubbard model; Computer science; Physics; Quantum mechanics; Superconductivity","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00118898,0.0009264167,0.002536287,0.00009726366,0.00017526,0.0002063955,0.002780124,0.00009066742,0.00003875421],"category_scores_gemma":[0.0005189735,0.0007309687,0.001739538,0.001482841,0.000142614,0.001525029,0.0009066597,0.0007317907,0.001798966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732081,"about_ca_system_score_gemma":0.0002182895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887985,"about_ca_topic_score_gemma":0.000002046992,"domain_scores_codex":[0.9938279,0.0005251975,0.001207735,0.002013557,0.00132648,0.001099074],"domain_scores_gemma":[0.9943201,0.001140962,0.0005533267,0.002799741,0.0006894296,0.0004964372],"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":[0.00001064657,0.0009308862,0.0000178272,0.006039581,0.00006999227,0.000004674135,0.0001353441,0.0002148988,0.001871492,0.557067,0.007465828,0.4261718],"study_design_scores_gemma":[0.0003449896,0.0003636033,0.00008516847,0.003473829,0.0001324085,0.000009879385,0.000002529552,0.5961866,0.0006483782,0.3806427,0.01739939,0.0007104586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01129917,0.02994978,0.943918,0.005212347,0.0008600999,0.006435574,0.00003957894,0.0005452255,0.001740158],"genre_scores_gemma":[0.7744943,0.09865195,0.08960277,0.02868631,0.00338428,0.004063782,0.0002592989,0.0003119359,0.0005453519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8543153,"threshold_uncertainty_score":0.9995142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672519603406507,"score_gpt":0.3599595855839312,"score_spread":0.3332343895498661,"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."}}