{"id":"W3017989996","doi":"10.1103/physrevb.102.045115","title":"Algorithmic approach to diagrammatic expansions for real-frequency evaluation of susceptibility functions","year":2020,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diagrammatic reasoning; Feynman diagram; Analytic continuation; Formalism (music); Hubbard model; Invariant (physics); Square lattice; Mathematics; Physics; Quantum mechanics; Applied mathematics; Mathematical physics; Computer science; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150535,0.000770091,0.0006180996,0.00178016,0.0008099828,0.001367942,0.001706758,0.0006949725,0.007076914],"category_scores_gemma":[0.005121029,0.0003839171,0.0007988925,0.001236129,0.001370605,0.001942032,0.001100839,0.001421514,0.002178811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629872,"about_ca_system_score_gemma":0.001206223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010417,"about_ca_topic_score_gemma":0.002361155,"domain_scores_codex":[0.9995109,0.00019885,0.00002919366,0.00003585725,0.0001864161,0.0000387469],"domain_scores_gemma":[0.9982424,0.0009418752,0.0001375869,0.0003529988,0.0002831382,0.00004205986],"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":[0.00003009557,0.00009739079,0.0004773574,0.0002277973,0.00003145266,0.0001732597,0.0002306167,0.2148589,0.004320751,0.7185574,0.002119679,0.05887534],"study_design_scores_gemma":[0.00002542499,0.00002118156,0.00008497068,0.00003399046,0.000008074935,0.00005529917,0.00004042592,0.6280541,0.001620177,0.3659563,0.004084347,0.00001567181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008442297,0.0001038973,0.9838934,0.0001807588,0.00003854657,0.00005518414,0.0000542798,0.0004360087,0.006795574],"genre_scores_gemma":[0.1468926,0.0003046952,0.8483949,0.0001359921,0.00007516317,0.0004233345,0.0001699336,0.0006398037,0.002963713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007076914,"threshold_uncertainty_score":0.02367467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07033649840665472,"score_gpt":0.390676516835618,"score_spread":0.3203400184289633,"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."}}