{"id":"W4388153846","doi":"10.1016/j.jnucmat.2023.154810","title":"Deformation microstructures of non-irradiated and proton irradiated zirconium alloy from nanoindentation creep tests characterised by TEM","year":2023,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories; Queen's University","funders":"University Network of Excellence in Nuclear Engineering; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Materials science; Nanoindentation; Irradiation; Creep; Indentation; Dislocation; Dislocation creep; Composite material; Microstructure; Deformation mechanism; Annealing (glass); Deformation (meteorology); Plasticity","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007882651,0.00022192,0.0005893336,0.0001821122,0.0001321267,0.0003772954,0.000273717,0.0001651969,0.001627871],"category_scores_gemma":[0.00008491096,0.0001722974,0.00006101574,0.0001414027,0.0001143417,0.0007814588,0.00009118083,0.00008075414,0.0001803273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004259912,"about_ca_system_score_gemma":0.00004406975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002194031,"about_ca_topic_score_gemma":0.000002372614,"domain_scores_codex":[0.9978895,0.0002256094,0.001070125,0.000196905,0.0003458101,0.0002720286],"domain_scores_gemma":[0.9982336,0.0000452017,0.001231623,0.0001815666,0.0001977835,0.0001102855],"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":[0.0007149463,0.00002965741,0.0001947147,0.0001609706,0.00003133677,0.000008163057,0.001387035,0.000005931019,0.9947278,0.000004582429,0.002487347,0.0002475227],"study_design_scores_gemma":[0.0009742853,0.0003000077,0.2002364,0.000158442,0.00003902898,0.00002930816,0.0002601957,0.00003060755,0.7952849,0.00008842745,0.002425085,0.0001733064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975867,0.00005735979,6.557049e-7,0.0001796804,0.001202998,0.0003994986,0.0004885399,0.00006188089,0.00002274504],"genre_scores_gemma":[0.9988987,0.0001713265,0.0004207783,0.0001330143,0.0001994597,0.000006047724,0.00009114904,0.00005612011,0.00002343605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000417,"threshold_uncertainty_score":0.9992848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352224032061273,"score_gpt":0.2284568291105686,"score_spread":0.2191046050785074,"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."}}