{"id":"W2316507424","doi":"10.1063/1.4946784","title":"Vacancy enhanced formation and phase transition of Cu-rich precipitates in <i>α</i> - iron under neutron irradiation","year":2016,"lang":"en","type":"article","venue":"AIP Advances","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Vacancy defect; Materials science; Crystallography; Molecular dynamics; Stacking fault; Phase transition; Phase (matter); Dislocation; Precipitation; Chemical physics; Diffusion; Condensed matter physics; Thermodynamics; Chemistry; Computational chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005039415,0.00007580204,0.0001075107,0.00004812876,0.0000127304,0.000004984202,0.00003269492,0.0000338903,0.0000162061],"category_scores_gemma":[0.000004301562,0.00005517733,0.00001379967,0.00009230989,0.00001798136,0.000693031,0.000003040062,0.00003181918,0.000002019737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002853091,"about_ca_system_score_gemma":0.000003142296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003326483,"about_ca_topic_score_gemma":0.00004837197,"domain_scores_codex":[0.9995676,0.00001153309,0.0001744399,0.00008303373,0.00006368788,0.00009974439],"domain_scores_gemma":[0.9998218,0.00005028094,0.00003860662,0.00005108759,0.00001599835,0.00002217546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001144275,0.0001047988,0.00003979091,0.0006265474,0.00001374074,6.676414e-7,0.001128848,0.08706899,0.6511924,0.00276775,0.000004493992,0.2569375],"study_design_scores_gemma":[0.009836943,0.0008550849,0.01406658,0.0007364565,0.00007618208,0.000007137629,0.00077031,0.7860848,0.1116091,0.07308601,0.001939036,0.0009323873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8076994,0.001711628,0.1899076,0.00006480578,0.00005277435,0.00008862774,0.000006950618,0.00003148005,0.0004366753],"genre_scores_gemma":[0.9957033,0.003960328,0.0002687621,0.00001263584,0.0000166394,0.00001376621,0.000009438547,0.000008897793,0.000006262429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990158,"threshold_uncertainty_score":0.2250066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00567147846480192,"score_gpt":0.2282047963956111,"score_spread":0.2225333179308092,"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."}}