{"id":"W2328787596","doi":"10.1190/segam2014-0344.1","title":"Far-field superresolution by imaging of resonance scattering","year":2014,"lang":"en","type":"article","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Superresolution; Scattering; Field (mathematics); Resonance (particle physics); Optics; Physics; Computer science; Artificial intelligence; Image (mathematics); Atomic physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002397863,0.0003066416,0.0002435092,0.0002872328,0.0001429391,0.0003860818,0.0003301527,0.0002908888,0.001392203],"category_scores_gemma":[0.0005417043,0.0002645668,0.0002085583,0.0001799105,0.0003839647,0.0006312173,0.0006033372,0.0005861821,0.0004845652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259597,"about_ca_system_score_gemma":0.0001030546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002544852,"about_ca_topic_score_gemma":0.0003500951,"domain_scores_codex":[0.9998287,0.00003695349,0.00000347717,0.00003802499,0.00006514694,0.00002761477],"domain_scores_gemma":[0.9997075,0.0001394767,0.0000414002,0.00005426023,0.00003437621,0.00002305816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001500989,0.00002060969,0.0004848102,0.00005388172,0.00001515966,0.0002018337,0.0000803072,0.02258081,0.9375926,0.01555901,0.0004252071,0.02283569],"study_design_scores_gemma":[0.00004787894,0.0002063894,0.00315625,0.00002476128,0.00003478795,0.001134223,0.00008692572,0.56438,0.4007229,0.02157354,0.008574001,0.00005833991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3118317,0.0009708545,0.6751135,0.0003072844,0.00003636265,0.00002294164,0.00009788541,0.0007525343,0.01086692],"genre_scores_gemma":[0.7965859,0.0004865223,0.2006807,0.00005224635,0.00004767262,0.00001923129,0.00008428945,0.00006512527,0.001978399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001392203,"threshold_uncertainty_score":0.004657447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005368586113362064,"score_gpt":0.1871806307863952,"score_spread":0.1818120446730331,"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."}}