{"id":"W2617461936","doi":"10.1080/15361055.2017.1291189","title":"Detritiation Technology Development for Environmental Protection","year":2017,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tritium; Nuclear engineering; Environmental science; Radiochemistry; Zirconium; Zirconium hydride; Materials science; Waste management; Hydride; Nuclear physics; Chemistry; Metal; Physics; Metallurgy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005813966,0.0007177271,0.000300272,0.00116129,0.0006880072,0.0008532684,0.0006141774,0.0006713425,0.005882625],"category_scores_gemma":[0.0002954432,0.000208689,0.0004822932,0.0007818804,0.0003138905,0.001071789,0.0008226779,0.0008287565,0.002675719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008399088,"about_ca_system_score_gemma":0.001066642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045657,"about_ca_topic_score_gemma":0.001539151,"domain_scores_codex":[0.9995728,0.00003698832,0.00002129189,0.00009128733,0.0002298345,0.00004776015],"domain_scores_gemma":[0.9996789,0.00002285516,0.00003915104,0.0000289088,0.0002024296,0.00002776246],"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":[0.0001079674,0.0001205673,0.001433461,0.001368528,0.00004168595,0.0005332856,0.0001794961,0.001353884,0.7168588,0.02526322,0.01041866,0.2423204],"study_design_scores_gemma":[0.00001526175,0.0002712476,0.001261564,0.0001541116,0.00004226771,0.0005644511,0.0001120612,0.002526454,0.5657341,0.002688066,0.4266042,0.00002631203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2118982,0.1206541,0.3734477,0.008403801,0.003064505,0.0007451568,0.001869362,0.002588093,0.2773291],"genre_scores_gemma":[0.6208962,0.08268555,0.1321971,0.002931698,0.0004245731,0.0005732427,0.00243005,0.0004971479,0.1573644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005882625,"threshold_uncertainty_score":0.01967931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275708281716465,"score_gpt":0.2725885633377947,"score_spread":0.2450177351661482,"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."}}