{"id":"W2990617531","doi":"10.1103/physrevb.101.125109","title":"Optimal grouping of arbitrary diagrammatic expansions via analytic pole structure","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":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feynman diagram; Diagrammatic reasoning; Monte Carlo method; Hubbard model; Applied mathematics; Lattice (music); Representation (politics); Mathematics; sort; Computer science; Algorithm; Physics; Quantum mechanics; Mathematical physics; Arithmetic","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":[0.001281924,0.0008048571,0.0009994131,0.00171579,0.0007606072,0.001439555,0.001126677,0.0006408732,0.005730371],"category_scores_gemma":[0.005594114,0.0004684504,0.0006134739,0.001310992,0.0008742556,0.001838142,0.001117088,0.0008940502,0.001384269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007387196,"about_ca_system_score_gemma":0.001306283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008354424,"about_ca_topic_score_gemma":0.001725285,"domain_scores_codex":[0.9993727,0.0002274115,0.0000307739,0.00006030537,0.000217649,0.00009130118],"domain_scores_gemma":[0.9986607,0.0006950467,0.0001217378,0.0002403821,0.0002122977,0.00006980183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003585186,0.0003106821,0.002280507,0.0004349998,0.00008937332,0.0003500222,0.0005090238,0.432679,0.02706399,0.2303379,0.005203628,0.3003823],"study_design_scores_gemma":[0.00004226634,0.00006964974,0.0001647794,0.00002608776,0.00001999571,0.00003892985,0.0000553593,0.8865193,0.006965247,0.102877,0.003206003,0.00001530616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05047379,0.0001391614,0.9399195,0.0001030451,0.00004454769,0.00008871548,0.0000921643,0.001747503,0.007391484],"genre_scores_gemma":[0.3048801,0.0001311406,0.6907632,0.00009491762,0.00003797442,0.0002030777,0.0003115122,0.001089254,0.002488879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005730371,"threshold_uncertainty_score":0.01916999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188545346386953,"score_gpt":0.3248522770295853,"score_spread":0.30599774239089,"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."}}