{"id":"W1531414578","doi":"10.1109/fusion.1995.534400","title":"Cleaning of tritiated laboratory tools using a plasma decontamination facility","year":2002,"lang":"en","type":"article","venue":"","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Glovebox; Human decontamination; Tritiated water; Tritium; Leaching (pedology); Chemistry; Argon; Radiochemistry; Contamination; Nuclear chemistry; Waste management; Environmental science; Nuclear physics; Physics; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00006419409,0.00006299634,0.000112202,0.00008309905,0.00003202272,0.00002228596,0.00003554554,0.00003958282,0.001060101],"category_scores_gemma":[0.0000315848,0.00006463274,0.00004559409,0.0002460646,0.000008508779,0.0002746958,0.000005479376,0.00006262012,0.00003720234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005730643,"about_ca_system_score_gemma":0.000002763945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003287119,"about_ca_topic_score_gemma":0.00003200835,"domain_scores_codex":[0.9995676,0.00001410117,0.0001922623,0.0000702574,0.00006874482,0.00008704256],"domain_scores_gemma":[0.9997462,0.00004225575,0.0000247978,0.00008629107,0.00007874904,0.00002168964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001081434,0.0001891635,0.005402529,0.0001792456,0.0003849856,0.00001036436,0.00109286,0.4119887,0.4838038,0.0002446561,0.001797066,0.09489585],"study_design_scores_gemma":[0.0001558961,0.000008886215,0.0006288133,0.00001725224,0.00002118444,0.000001273754,0.0003071815,0.9416983,0.05614188,0.000002584184,0.000929332,0.00008742631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847279,0.00004893302,0.01100523,0.000007753857,0.00007178135,0.00003408606,0.00003177523,0.000101335,0.003971175],"genre_scores_gemma":[0.9987381,0.00001904067,0.001084733,0.000005292899,0.000009385414,0.000001360749,0.000005335159,0.000005592304,0.0001311896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5297096,"threshold_uncertainty_score":0.9998531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139863198614738,"score_gpt":0.2221569814479956,"score_spread":0.1907583494618482,"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."}}