{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958325,0.0005012755,0.0004598106,0.0006723333,0.0002499176,0.0004242751,0.0007272658,0.0005417071,0.001997215],"category_scores_gemma":[0.0004049686,0.0003698314,0.0003631879,0.0004533892,0.0004321441,0.000719819,0.0004502248,0.0009038825,0.001464385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122167,"about_ca_system_score_gemma":0.000381087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003763857,"about_ca_topic_score_gemma":0.0007349114,"domain_scores_codex":[0.9995425,0.00003041375,0.00003200651,0.0001199411,0.0002384142,0.00003677265],"domain_scores_gemma":[0.9997956,0.00004408678,0.00005658511,0.00004299472,0.00004940867,0.00001125525],"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":[0.00002630424,0.00002898404,0.000122638,0.000303365,0.000009389805,0.000108308,0.00003495376,0.0001430941,0.9694142,0.001667207,0.0002006174,0.0279409],"study_design_scores_gemma":[0.000008387219,0.0002831315,0.0006954384,0.00001929748,0.00001485533,0.0004169241,0.0000162427,0.001026214,0.978022,0.0001243265,0.01936042,0.00001280717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142276,0.02542998,0.6271122,0.0009167939,0.0007996258,0.001285653,0.0006098818,0.001519891,0.02809837],"genre_scores_gemma":[0.5050626,0.01607283,0.4592846,0.0003214035,0.0002014278,0.0003918814,0.000644378,0.0002949379,0.01772585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001997215,"threshold_uncertainty_score":0.006681323,"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."}}