{"id":"W4327811138","doi":"10.48550/arxiv.2303.09539","title":"Why is EXAFS analysis for multicomponent metals so hard? Challenges and opportunities for measuring ordering in complex concentrated alloys using x-ray absorption spectroscopy","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Naval Research; Multidisciplinary University Research Initiative; Brookhaven National Laboratory; Office of Science; U.S. Department of Energy","keywords":"Extended X-ray absorption fine structure; Absorption (acoustics); Materials science; Alloy; Range (aeronautics); Surface-extended X-ray absorption fine structure; Corrosion; Absorption spectroscopy; Metallurgy; Physics; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007455295,0.0007892381,0.001533842,0.002279194,0.001808528,0.003472198,0.002350168,0.003385363,0.001979054],"category_scores_gemma":[0.01183059,0.001135103,0.0007375706,0.001908484,0.004620527,0.008622115,0.002099534,0.005151342,0.001223746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259229,"about_ca_system_score_gemma":0.001333176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358105,"about_ca_topic_score_gemma":0.002359812,"domain_scores_codex":[0.9952822,0.000721674,0.0002197462,0.001266653,0.002278207,0.0002314945],"domain_scores_gemma":[0.9906989,0.004491036,0.0005832741,0.001736249,0.00207559,0.0004149659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005948166,0.0003310924,0.02613997,0.004833024,0.00079264,0.001842975,0.002570825,0.01569139,0.5100687,0.1272983,0.04446646,0.2653699],"study_design_scores_gemma":[0.00007833924,0.0002841959,0.01816496,0.0008363844,0.000158426,0.002919047,0.004366321,0.04439405,0.2098828,0.576451,0.1421711,0.0002934723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3305685,0.05732303,0.4966572,0.08814725,0.003533242,0.0002162332,0.002613937,0.004446066,0.01649452],"genre_scores_gemma":[0.6377348,0.03451201,0.3040521,0.01018371,0.002368275,0.0002404679,0.001466832,0.001937722,0.007504125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007455295,"threshold_uncertainty_score":0.03942782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3199518000782489,"score_gpt":0.2626511117788295,"score_spread":0.05730068829941931,"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."}}