{"id":"W4237060805","doi":"10.1520/mnl12118r","title":"Understanding Hydrogen in Zirconium","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Deep River Science Academy; Research Manitoba","funders":"","keywords":"Zirconium; Materials science; Hydrogen; Metallurgy; Chemistry","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":[0.0001021654,0.0005499369,0.0002774188,0.0008764179,0.0005784039,0.000928307,0.0004723096,0.0005572888,0.01383174],"category_scores_gemma":[0.0001526663,0.0001910799,0.0002334806,0.001098999,0.0006123745,0.001207723,0.0004796121,0.0007547364,0.004716679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688263,"about_ca_system_score_gemma":0.0008660128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007610229,"about_ca_topic_score_gemma":0.02576921,"domain_scores_codex":[0.9999253,0.000005208638,0.000002317528,0.00001816157,0.00004189941,0.000007094788],"domain_scores_gemma":[0.9999772,0.000006153231,0.000001701151,0.00000223662,0.000009791195,0.000002947205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006614892,0.00006461535,0.0002062002,0.002298643,0.00002343523,0.0005777758,0.00176662,0.002513218,0.02902311,0.3687789,0.1830815,0.4115998],"study_design_scores_gemma":[0.000001548947,0.00001019555,0.0001241605,0.0001500049,0.000003458755,0.0002098796,0.00006772666,0.0001719926,0.001509941,0.01182345,0.9859231,0.000004693282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004425,0.4204668,0.01506757,0.002296498,0.002625469,0.00007038895,0.0003060234,0.0002011392,0.5545411],"genre_scores_gemma":[0.02261591,0.2512792,0.009358066,0.001181492,0.0005750612,0.00003931795,0.0003770725,0.0001284135,0.7144455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01383174,"threshold_uncertainty_score":0.04627174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156720005341463,"score_gpt":0.229125600721123,"score_spread":0.1134536001869766,"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."}}