{"id":"W7135934611","doi":"","title":"Multi-level Monte Carlo methods for large-scale eigenvalue problems.","year":2015,"lang":"en","type":"article","venue":"Explore Bristol Research","topic":"Mathematical Approximation and Integration","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Monte Carlo method; Eigenvalues and eigenvectors; Hybrid Monte Carlo; Monte Carlo method in statistical physics; Monte Carlo molecular modeling; Markov chain Monte Carlo","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009736135,0.0002179554,0.0004207395,0.0002486428,0.000266925,0.0001664704,0.0004626018,0.0001855867,0.0001410465],"category_scores_gemma":[0.01014448,0.0001753007,0.0001602767,0.0004569373,0.0001094844,0.000283305,0.0001782521,0.0004733309,0.0002209287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539324,"about_ca_system_score_gemma":0.0002301341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004395483,"about_ca_topic_score_gemma":0.00008958059,"domain_scores_codex":[0.9965733,0.0007453542,0.000617794,0.000458686,0.0008910571,0.0007137838],"domain_scores_gemma":[0.9960029,0.001203613,0.0001220558,0.0006306683,0.001646832,0.0003938898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003226393,0.003447627,0.00006365238,0.002124356,0.0001509739,0.000007026215,0.06995227,0.0000229466,0.003906811,0.4340575,0.435482,0.05046217],"study_design_scores_gemma":[0.002218207,0.0003591045,0.00001836682,0.0001648338,0.00002418117,0.00000990177,0.01163431,0.359442,0.007035936,0.4834251,0.135288,0.0003800137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008089911,0.000249344,0.9835913,0.001122236,0.0001518291,0.002388287,0.00005889406,0.0001695261,0.004178631],"genre_scores_gemma":[0.008751859,0.00001358728,0.9728916,0.0000594088,0.0001510618,0.001616774,0.00002510951,0.00007934567,0.01641125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3594191,"threshold_uncertainty_score":0.9981935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7447238246283481,"score_gpt":0.573691523483255,"score_spread":0.171032301145093,"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."}}