{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185694,0.0002715476,0.0002065656,0.001532674,0.0001450255,0.000518847,0.0003863254,0.0002505938,0.001063412],"category_scores_gemma":[0.000988676,0.0002317302,0.0002084834,0.0006416353,0.0002918043,0.000492889,0.0002141628,0.0002744167,0.0001973839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022314,"about_ca_system_score_gemma":0.000144531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126263,"about_ca_topic_score_gemma":0.001154891,"domain_scores_codex":[0.9998077,0.00002362893,0.00001532693,0.00004304591,0.00008387871,0.00002639784],"domain_scores_gemma":[0.9996715,0.0001054402,0.00004704098,0.00003903667,0.0001161184,0.00002090227],"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":[0.0002086622,0.00004747571,0.01212265,0.0001081144,0.00002126311,0.00009491579,0.0001473065,0.004345332,0.9555557,0.001131748,0.0001426798,0.026074],"study_design_scores_gemma":[0.00001383828,0.0001018322,0.06631962,0.00001551103,0.00003157685,0.0004662991,0.0001539474,0.1030047,0.828004,0.0008697,0.0009842598,0.00003472186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931129,0.0003512683,0.06620197,0.00004771341,0.000006820139,0.00002398559,0.0003927181,0.0002814969,0.001565084],"genre_scores_gemma":[0.9816301,0.000167946,0.01738735,0.000007233457,0.000003003793,0.00001648507,0.0003518615,0.00004633068,0.0003897266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001532674,"threshold_uncertainty_score":0.003557444,"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."}}