{"id":"W1981469617","doi":"10.1103/physreva.75.022508","title":"Numerical calculation of supercritical Dirac resonance parameters by analytic continuation methods","year":2007,"lang":"en","type":"article","venue":"Physical Review A","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Analytic continuation; Scaling; Magnetic monopole; Resonance (particle physics); Dirac equation; Bound state; Quantum mechanics; Fourier transform; Supercritical fluid; Quantum electrodynamics; Computational physics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0004196177,0.0001472216,0.0004626667,0.00001520111,0.00003274016,0.000007662666,0.0001090054,0.00001946015,0.00002384674],"category_scores_gemma":[0.00007844606,0.0001291234,0.0002666902,0.0002712975,0.00008086893,0.00008864915,0.00002528946,0.000142672,0.00001761464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002290115,"about_ca_system_score_gemma":0.00002678462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006625526,"about_ca_topic_score_gemma":1.147002e-7,"domain_scores_codex":[0.9988044,0.000145726,0.0003560145,0.0002390569,0.0002172553,0.0002375449],"domain_scores_gemma":[0.9992058,0.0003007145,0.00006304017,0.0002345269,0.00009277252,0.0001031204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003354229,0.000817216,0.005368113,0.0004077285,0.0001333644,0.000001757637,0.0001973798,0.00002008835,0.04490463,0.1889331,0.002988391,0.7561947],"study_design_scores_gemma":[0.003070971,0.0005959949,0.0287804,0.004218573,0.002436301,0.000004240277,0.0002277679,0.05795933,0.6673795,0.1259273,0.106639,0.002760556],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1440736,0.003715936,0.8486729,0.0001881855,0.00003733773,0.0003310548,0.00001027253,0.00001809307,0.002952649],"genre_scores_gemma":[0.9942205,0.00006925674,0.005257899,0.0002490348,0.00009552473,0.00001582572,0.00004879272,0.00001600166,0.00002715608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8501469,"threshold_uncertainty_score":0.5265499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503870079515149,"score_gpt":0.3876252949407376,"score_spread":0.372586594145586,"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."}}