{"id":"W4386307214","doi":"10.1021/acs.jpcc.3c04468","title":"Solid-State Phase Transformation Explains the Mixed Crystallographic Character of Zr(Nb,Fe)<sub>2</sub> Nanoprecipitates in Zr-2.5Nb","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; European Regional Development Fund; University Network of Excellence in Nuclear Engineering","keywords":"Materials science; Intermetallic; High-resolution transmission electron microscopy; Transmission electron microscopy; Microstructure; Alloy; Annealing (glass); Zirconium alloy; Density functional theory; Crystallography; Zirconium; Chemical physics; Phase (matter); Electronic structure; Nanotechnology; Metallurgy; Chemistry; Computational chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003310677,0.0001024797,0.00009405984,0.0001533607,0.0001682594,0.0001711108,0.0002271694,0.0001537721,0.001576894],"category_scores_gemma":[0.00009818176,0.0001170645,0.0001015415,0.00007775831,0.0002511933,0.0001337794,0.0001099094,0.0001420411,0.0001951249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829671,"about_ca_system_score_gemma":0.00009444181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807989,"about_ca_topic_score_gemma":0.0040429,"domain_scores_codex":[0.9999588,0.000001886423,0.000002010098,0.00001212895,0.0000146097,0.00001051238],"domain_scores_gemma":[0.9999731,0.000004984387,0.00001013778,0.00000295165,0.000006436272,0.000002485852],"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":[0.00007098966,0.00001183873,0.002705534,0.00004485745,0.000008967829,0.000121537,0.00006471639,0.002050283,0.9906667,0.001813481,0.0001546077,0.002286497],"study_design_scores_gemma":[0.000009792047,0.00006591142,0.02500847,0.000008809486,0.00001055049,0.0002374449,0.0002083971,0.0349235,0.9366412,0.001029308,0.001847591,0.000009081617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944748,0.0002535642,0.003106449,0.0000365511,0.000007263804,0.000005570477,0.0001094139,0.00006297197,0.001943463],"genre_scores_gemma":[0.9991405,0.00002754436,0.0005097042,0.000004151598,7.523623e-7,0.0000032149,0.00004569192,0.000007705115,0.0002607665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807989,"threshold_uncertainty_score":0.005275249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471676542527443,"score_gpt":0.2622334326277841,"score_spread":0.2475166672025097,"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."}}