{"id":"W4362644302","doi":"10.2139/ssrn.4408794","title":"Why is EXAFS Analysis for Multicomponent Metals so Hard?&amp;nbsp; Challenges and Opportunities for Measuring Ordering in Complex Concentrated Alloys Using X-Ray Absorption Spectroscopy","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Extended X-ray absorption fine structure; Absorption (acoustics); Materials science; Range (aeronautics); Scalability; X-ray; Corrosion; Surface-extended X-ray absorption fine structure; Computer science; Absorption spectroscopy; Physics; Metallurgy; Optics; Database; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004859037,0.0007924211,0.001604241,0.001124586,0.000540933,0.0006310734,0.0007033374,0.0004104248,0.0000535874],"category_scores_gemma":[0.0001150996,0.0008019622,0.0005827246,0.0002616238,0.0002016093,0.0003533214,0.0002794042,0.001789351,0.000002296986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364557,"about_ca_system_score_gemma":0.001582221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007019881,"about_ca_topic_score_gemma":0.007897549,"domain_scores_codex":[0.9929639,0.0003675223,0.001271709,0.001198338,0.0006078919,0.003590605],"domain_scores_gemma":[0.9976577,0.0002262476,0.0009880272,0.0005337205,0.0003807455,0.0002135389],"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":[0.0003672397,0.0001627078,0.0001235514,0.0004265447,0.001613939,0.000006846897,0.001154223,0.003408716,0.9843575,0.007428416,0.00008399729,0.0008663387],"study_design_scores_gemma":[0.008235657,0.002533075,0.002502688,0.002498147,0.007473671,0.0002519258,0.009916387,0.1346579,0.4854808,0.3307542,0.009805019,0.005890602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6145465,0.01798582,0.3621596,0.002693512,0.0003482632,0.001763008,0.0001316634,0.0003544817,0.00001718116],"genre_scores_gemma":[0.8369886,0.1158423,0.04518997,0.0003235143,0.0004584495,0.0004650371,0.0002452578,0.0002529011,0.0002339569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988767,"threshold_uncertainty_score":0.9994431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138663503042077,"score_gpt":0.3466310532646598,"score_spread":0.1327647029604521,"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."}}