{"id":"W1995893240","doi":"10.1016/j.jnucmat.2011.09.025","title":"Uptake of deuterium in partially D-depleted residual codeposits left on DIII-D tiles after laboratory thermo-oxidation experiments","year":2011,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Sandia National Laboratories; Lawrence Livermore National Laboratory; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego","keywords":"DIII-D; Deuterium; Divertor; Chemistry; Hydrogen; Torr; Plasma; Radiochemistry; Tokamak; Analytical Chemistry (journal); Carbon fibers; Materials science; Atomic physics; Chromatography; Nuclear physics; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001244948,0.0002639274,0.0002218289,0.0001458318,0.0002631081,0.0003396201,0.0002712725,0.0002785016,0.002738757],"category_scores_gemma":[0.0002340521,0.0001412399,0.0001337263,0.0001728456,0.0002779557,0.0002468927,0.0001721431,0.0003172988,0.0004021312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578444,"about_ca_system_score_gemma":0.0002239626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638726,"about_ca_topic_score_gemma":0.003898918,"domain_scores_codex":[0.9998912,0.000006507571,0.000004836621,0.00003372204,0.00001721475,0.00004655578],"domain_scores_gemma":[0.9998846,0.00004286388,0.00001747494,0.00001710284,0.00002369829,0.0000141915],"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":[0.0005012283,0.00001171418,0.0004796235,0.00004476,0.000006307223,0.00005782352,0.00007756794,0.000221473,0.9975987,0.00006788915,0.00005413152,0.0008787867],"study_design_scores_gemma":[0.000002880474,0.00005747136,0.000960588,0.000002035313,0.000004674766,0.00001238513,0.00004378232,0.0003092249,0.9983394,0.000009023231,0.0002554778,0.000003121418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998179,0.0001038095,0.0004290598,0.00001050689,0.000009840721,0.000003832637,0.0002832296,0.00002054873,0.0009601804],"genre_scores_gemma":[0.998159,0.0000688835,0.0003041712,0.000006749267,0.000001306335,0.000004754729,0.0002496776,0.00002180083,0.001183638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638726,"threshold_uncertainty_score":0.009162009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809613264133123,"score_gpt":0.2409774763112239,"score_spread":0.2128813436698927,"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."}}