{"id":"W4388948966","doi":"10.1016/j.jnucmat.2023.154828","title":"Fractional densities and character of dislocations in different slip modes from powder diffraction patterns","year":2023,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Los Alamos National Laboratory; Basic Energy Sciences; Engineering and Physical Sciences Research Council; U.S. Department of Energy","keywords":"Dislocation; Materials science; Dislocation creep; Crystallography; Neutron diffraction; Alloy; Neutron; Diffraction; Condensed matter physics; Lattice (music); Crystal structure; Composite material; Optics; Physics; Chemistry; Nuclear physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003924378,0.0001362461,0.0004224305,0.0001812831,0.00006807612,0.0001659777,0.0001289997,0.00007822536,0.002672187],"category_scores_gemma":[0.00006204538,0.00009752993,0.00004770076,0.00005599074,0.00006577586,0.0004839074,0.00008818927,0.00007434349,0.00008799671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000034701,"about_ca_system_score_gemma":0.00001729005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002630975,"about_ca_topic_score_gemma":0.00001296507,"domain_scores_codex":[0.9986174,0.0001674088,0.0006491346,0.0001352515,0.0002651168,0.0001656867],"domain_scores_gemma":[0.9991609,0.000100286,0.0004626211,0.0001249596,0.00009851803,0.00005271694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002767581,0.00005891522,0.00131534,0.0000552265,0.00001714924,0.000008364681,0.0008186887,0.00001798138,0.9968396,0.0001543813,0.0002955571,0.0001420625],"study_design_scores_gemma":[0.0004262723,0.0001027546,0.8265461,0.0002493732,0.00002819343,0.00002438811,0.001000061,0.00005400513,0.1699059,0.000894295,0.0006398038,0.0001288257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979157,0.00003205269,0.000003260984,0.0006795289,0.001084977,0.00007425425,0.0001688151,0.00002250226,0.00001891268],"genre_scores_gemma":[0.9990216,0.0002861644,0.00009666898,0.00008762637,0.0004312544,0.000002302065,0.00001099972,0.00002840861,0.00003493688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8269336,"threshold_uncertainty_score":0.9982395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170849164284767,"score_gpt":0.2375649973769919,"score_spread":0.2158565057341442,"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."}}