{"id":"W2913697168","doi":"10.12943/cnr.2018.00008","title":"ON THE DEVELOPMENT OF A NOVEL TECHNIQUE FOR HYDRIDING USING ZIRCONIUM HYDRIDE POWDER","year":2019,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Zirconium; Hydrogen embrittlement; Materials science; Hydrogen; Zirconium alloy; Metallurgy; Corrosion; Embrittlement; Alloy; Zirconium hydride; Hydride; Nuclear engineering; Engineering; Chemistry; Metal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001144596,0.0001420354,0.0003497592,0.00002524832,0.0001427573,0.00004623446,0.0003118812,0.00004482867,0.001852726],"category_scores_gemma":[0.0001012743,0.00008532572,0.00008720013,0.00007303504,0.00004662448,0.00008644586,0.0001162329,0.00005587234,0.000386294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825383,"about_ca_system_score_gemma":0.0000476834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006129228,"about_ca_topic_score_gemma":4.721317e-7,"domain_scores_codex":[0.998943,0.00005712867,0.0004078421,0.0002213398,0.0001620992,0.0002086063],"domain_scores_gemma":[0.9992789,0.00007561537,0.0002040401,0.0003492491,0.0000613928,0.00003078205],"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":[0.00002029191,0.00002595126,8.391381e-7,0.001602814,0.000005930437,9.50827e-8,0.0001120207,0.000004122005,0.9934097,0.003929818,0.0005194923,0.0003689442],"study_design_scores_gemma":[0.0001849612,0.00007867035,0.000008706704,0.006356126,0.00002831011,0.000008020448,0.00004026141,0.000109524,0.7985637,0.0001214935,0.1942885,0.0002117441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992746,0.00238068,0.000410558,0.0005574416,0.0003752891,0.001952506,0.00001219906,0.00005198822,0.00151334],"genre_scores_gemma":[0.9386233,0.0009741616,0.05595902,0.003747321,0.00009268271,0.000125139,0.000003462952,0.0001455572,0.0003293279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.194846,"threshold_uncertainty_score":0.9990597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0723758443288696,"score_gpt":0.285270794317498,"score_spread":0.2128949499886284,"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."}}