{"id":"W1540881171","doi":"10.1088/0953-8984/27/26/266301","title":"Structure determination from XAFS using high-accuracy measurements of x-ray mass attenuation coefficients of silver, 11 keV–28 keV, and development of an all-energies approach to local dynamical analysis of bond length, revealing variation of effective thermal contributions across the XAFS spectrum","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alzheimer Society Research Program","keywords":"X-ray absorption fine structure; Mass attenuation coefficient; Attenuation; Debye–Waller factor; Range (aeronautics); Absorption (acoustics); Computational physics; Bond length; Atomic physics; Debye; Materials science; Physics; Optics; Condensed matter physics; Diffraction; Molecule; Spectroscopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006655295,0.0004314667,0.0002380008,0.0005246211,0.0004781254,0.0006115049,0.0006098037,0.0004008647,0.0007322287],"category_scores_gemma":[0.001806027,0.0003294893,0.0002423536,0.0004169221,0.0004924627,0.0006546904,0.0004146148,0.0006702358,0.0002309899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479041,"about_ca_system_score_gemma":0.0003396308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008695704,"about_ca_topic_score_gemma":0.001780991,"domain_scores_codex":[0.9996514,0.00003440413,0.00001791527,0.0001034938,0.0001675629,0.00002528725],"domain_scores_gemma":[0.9995331,0.0001414874,0.00009796506,0.0001240568,0.00008992686,0.00001352024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001017186,0.00005799665,0.00971529,0.0001520834,0.00002629278,0.0001936253,0.0003913013,0.01131203,0.9367006,0.009110761,0.0003367171,0.03190163],"study_design_scores_gemma":[0.00003144722,0.0001996671,0.01710495,0.00004087808,0.00002759723,0.0003381172,0.0001943519,0.09610627,0.8756034,0.007175188,0.003137392,0.00004085952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810597,0.0003265981,0.1146427,0.0000954049,0.00002449626,0.00003536866,0.000248622,0.0003876466,0.003179483],"genre_scores_gemma":[0.9193584,0.0001969216,0.07954577,0.00001885437,0.000005300576,0.00004102162,0.00017225,0.00005923699,0.0006022302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008695704,"threshold_uncertainty_score":0.003519714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928177418300245,"score_gpt":0.2886151773688301,"score_spread":0.2693334031858277,"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."}}