{"id":"W2609797543","doi":"10.1016/j.jnucmat.2017.04.045","title":"The effects of proton irradiation on the microstructural and mechanical property evolution of inconel X-750 with high concentrations of helium","year":2017,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Canadian Nuclear Laboratories; McMaster University","funders":"CANDU Owners Group; Bruce Power","keywords":"Materials science; Helium; Irradiation; Hardening (computing); Alloy; Inconel; Grain boundary; Microstructure; Composite material; Metallurgy; Nuclear physics; Atomic physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006790011,0.00009192624,0.000305192,0.00003011743,0.0002601354,0.0001258777,0.000366396,0.00006949704,0.00005879798],"category_scores_gemma":[0.0005995802,0.00003573585,0.00003014742,0.00002502732,0.0004374979,0.0001753935,0.0001009263,0.00005287873,0.000001499511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506018,"about_ca_system_score_gemma":0.00005028252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001150472,"about_ca_topic_score_gemma":0.000004414436,"domain_scores_codex":[0.9989334,0.0001464875,0.0004960963,0.00008431685,0.0002337119,0.0001059516],"domain_scores_gemma":[0.9977769,0.0001270652,0.001570171,0.000290042,0.0002153176,0.00002045879],"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":[0.0005890867,0.00002664431,0.00006914412,0.0001516441,0.00001465069,0.00000115938,0.00008827695,0.000001615698,0.9887152,0.01019314,0.00006545624,0.00008397274],"study_design_scores_gemma":[0.0004846664,0.0009099454,0.07290925,0.0002695304,0.00002745518,0.00001839482,0.0001155508,0.000004121313,0.9232278,0.001913217,0.00007472061,0.00004533353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979376,0.00003356691,0.000001698994,0.0009731387,0.0005421889,0.0004644992,0.00002690211,0.000006698338,0.00001377339],"genre_scores_gemma":[0.9994131,0.00009112397,0.000408159,0.00001244066,0.00005430333,0.00000545189,2.753064e-7,0.00000907298,0.000006090578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0728401,"threshold_uncertainty_score":0.2000778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007994658851127344,"score_gpt":0.2132771235739464,"score_spread":0.205282464722819,"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."}}