{"id":"W2041688856","doi":"10.1016/j.ultras.2006.05.043","title":"Improving the Born approximation for the scattering of ultrasound in elastic solids","year":2006,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National Science Foundation","keywords":"Born approximation; Scattering; Scattering amplitude; Isotropy; Physics; Coherent potential approximation; Elastic scattering; Linear approximation; Amplitude; Muffin-tin approximation; Mathematical analysis; Computational physics; Mathematics; Optics; Quantum mechanics; Nonlinear system; Electronic structure","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":[],"consensus_categories":[],"category_scores_codex":[0.0004210245,0.0001320572,0.0001285636,0.00004490193,0.0001036926,0.00005794226,0.0002043364,0.00005264357,0.000006777197],"category_scores_gemma":[0.0002422853,0.00008768829,0.00006287878,0.0001924581,0.00006256228,0.0000952011,0.00001093647,0.0001622534,0.00000231048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006722061,"about_ca_system_score_gemma":0.00002212778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009504337,"about_ca_topic_score_gemma":0.00008211387,"domain_scores_codex":[0.9991273,0.00001456931,0.0003275185,0.0001254908,0.0001445102,0.0002605631],"domain_scores_gemma":[0.9982766,0.001360629,0.00007729346,0.000223083,0.00004785259,0.00001455467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009390409,0.00004865946,0.0008440745,0.00023367,0.00002583942,2.679534e-7,0.0004209556,0.6018904,0.3840355,0.003700749,0.0003129879,0.008477536],"study_design_scores_gemma":[0.0004007244,0.00002933514,0.005832005,0.00005619869,0.00005522806,0.000009992718,0.000355782,0.9487914,0.0417395,0.001929665,0.000613959,0.0001862131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4452763,0.000654633,0.552707,0.0001067305,0.0003077787,0.0005624037,0.00003232044,0.00007285977,0.0002800798],"genre_scores_gemma":[0.9968569,0.00006561151,0.002785189,0.00001831347,0.0001338637,0.00006474985,0.00002263998,0.00003174861,0.00002099829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5515806,"threshold_uncertainty_score":0.3575825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006283600269885834,"score_gpt":0.1932902397669642,"score_spread":0.1870066394970784,"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."}}