{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009668474,0.0002033132,0.0002541926,0.001442807,0.00359461,0.0002898755,0.002004438,0.0004123016,0.0002244033],"category_scores_gemma":[0.001082471,0.0001764074,0.00003497878,0.0005620514,0.00258801,0.0005363884,0.001349335,0.0001468783,0.0002870741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143995,"about_ca_system_score_gemma":0.0001589979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000599183,"about_ca_topic_score_gemma":0.00001151807,"domain_scores_codex":[0.9977865,0.000009726921,0.000388246,0.0008042539,0.0003947361,0.0006165018],"domain_scores_gemma":[0.9982145,0.00001534755,0.0004439885,0.001155583,0.0001166285,0.00005392903],"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":[0.00001689193,0.00004698651,0.0008227921,0.000008257962,9.911317e-7,0.000002226002,0.00001925203,0.00000212174,0.8971615,0.003484558,0.00003174704,0.09840272],"study_design_scores_gemma":[0.0003858167,0.0001952225,0.004354156,0.00002802789,0.000004135176,0.0000300431,0.0002158097,0.0001321686,0.9518648,0.009416468,0.03315193,0.0002214579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852535,0.00006707361,0.007502459,0.003954006,0.0009967594,0.0008629996,0.00001518264,0.0009214883,0.0004265218],"genre_scores_gemma":[0.9755844,0.0000270742,0.02351576,0.000031065,0.00004014547,0.0005234916,0.000002668371,0.00001538457,0.0002599966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09818126,"threshold_uncertainty_score":0.9977026,"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."}}