{"id":"W2020906383","doi":"10.1063/1.1942494","title":"Computing resonance energies, widths, and wave functions using a Lanczos method in real arithmetic","year":2005,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lanczos resampling; Resonance (particle physics); Wave function; Mathematics; Physics; Arithmetic; Quantum mechanics; Eigenvalues and eigenvectors","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":[0.0007395719,0.0008708514,0.0006089766,0.0009618588,0.0006156488,0.0008775607,0.001298934,0.0005496096,0.005346876],"category_scores_gemma":[0.002459291,0.0003890653,0.0005243077,0.0009704705,0.0006993045,0.001388659,0.0005708601,0.001015926,0.001905853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492998,"about_ca_system_score_gemma":0.001308094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337214,"about_ca_topic_score_gemma":0.005978171,"domain_scores_codex":[0.9996717,0.00008180975,0.00002651757,0.00003310956,0.0001496918,0.00003713647],"domain_scores_gemma":[0.9993937,0.0002888734,0.00004597199,0.00009607389,0.0001482065,0.00002716181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003144272,0.0001725121,0.001171771,0.0006075042,0.00008458029,0.0003167964,0.0003937656,0.3423593,0.04572562,0.1822962,0.006025734,0.4205317],"study_design_scores_gemma":[0.0001059104,0.0000743955,0.0001735486,0.00002296854,0.00001319832,0.00005682475,0.00005409792,0.9362022,0.01024112,0.04735313,0.005674358,0.00002810077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007037021,0.00007306465,0.9900093,0.00005070273,0.00002130275,0.00003349332,0.00003898041,0.001043718,0.001692488],"genre_scores_gemma":[0.04025588,0.00009968242,0.9576087,0.00003650948,0.00001333473,0.00009909325,0.00008607342,0.0002093014,0.001591374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005346876,"threshold_uncertainty_score":0.01788706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712469321189622,"score_gpt":0.2729281334386847,"score_spread":0.2558034402267885,"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."}}