{"id":"W4280606876","doi":"10.1115/1.4054557","title":"Joining of Zirconium Alloys to Nickel Bearing Alloys for In-Core Components","year":2022,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Waterloo; Canadian Nuclear Laboratories","funders":"","keywords":"Materials science; Metallurgy; Zirconium; Zirconium alloy; Welding; Ductility (Earth science); Intermetallic; Alloy; Ultimate tensile strength; Composite material; Creep","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003765828,0.0003412942,0.0002687336,0.0004542154,0.0002687251,0.0002544961,0.0006124781,0.0002261461,0.001202134],"category_scores_gemma":[0.0004244719,0.0001870827,0.0002140928,0.0002530034,0.000176809,0.000241256,0.0002301714,0.0001476997,0.0003163907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002736914,"about_ca_system_score_gemma":0.0002574152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009204737,"about_ca_topic_score_gemma":0.002896651,"domain_scores_codex":[0.9997793,0.00002103937,0.00001707295,0.00003175805,0.0001048492,0.00004605648],"domain_scores_gemma":[0.9998279,0.00001550788,0.00005118375,0.00003185964,0.00005865555,0.00001493704],"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":[0.00009167743,0.0000289432,0.000618554,0.0000784734,0.000008833688,0.00008700978,0.00007311142,0.0003499512,0.9951208,0.0002069929,0.00005778858,0.003277791],"study_design_scores_gemma":[0.000005965348,0.0003364693,0.002538888,0.000003663834,0.00001858184,0.00007191279,0.00003770256,0.001048281,0.9937236,0.00002863747,0.002183209,0.00000320839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897107,0.000334316,0.00659707,0.00001297178,0.00004352761,0.00005763381,0.0000461432,0.0001064032,0.003091119],"genre_scores_gemma":[0.9919661,0.0001041844,0.005617994,0.000005549741,0.00000496176,0.00000881043,0.00006563037,0.00002033968,0.002206485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001202134,"threshold_uncertainty_score":0.004021525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749714533082345,"score_gpt":0.2443568648826137,"score_spread":0.2168597195517903,"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."}}