{"id":"W177342524","doi":"10.13182/fst08-a1895","title":"High-Pressure and High-Temperature Tritium Apparatus for the Tritiation of Materials","year":2008,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Glovebox; Tritium; Materials science; Liquid nitrogen; Nuclear engineering; Radiochemistry; Atmosphere (unit); Molecular sieve; Air separation; Environmental science; Nuclear physics; Chemistry; Meteorology","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":[0.001185811,0.0005284388,0.0006514529,0.0007730773,0.001050679,0.0005533084,0.001161462,0.0007543571,0.006837208],"category_scores_gemma":[0.001094977,0.0005051772,0.000359557,0.0008402142,0.0005295718,0.0008589341,0.0009023177,0.001419916,0.002732809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004789346,"about_ca_system_score_gemma":0.0008885048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002481882,"about_ca_topic_score_gemma":0.0003577234,"domain_scores_codex":[0.9990352,0.000112799,0.00007022871,0.0001677517,0.0005265677,0.00008741722],"domain_scores_gemma":[0.9990205,0.000208352,0.00009665934,0.0004271465,0.0001788681,0.00006843371],"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":[0.0002545409,0.0000824922,0.0009138002,0.0002727969,0.00001546675,0.0002268413,0.0001479268,0.0005060617,0.9756708,0.003503605,0.001626921,0.01677878],"study_design_scores_gemma":[0.00004060332,0.0004856489,0.002117216,0.0000155411,0.00001930331,0.0006296288,0.00002482784,0.001828682,0.9681463,0.0001962697,0.02647351,0.00002240853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.542504,0.002703503,0.4211726,0.0005123027,0.0006788465,0.002107734,0.002706551,0.006614103,0.02100041],"genre_scores_gemma":[0.6645373,0.002224412,0.3080957,0.0002685253,0.000257256,0.002388809,0.00286955,0.001012321,0.01834618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006837208,"threshold_uncertainty_score":0.02287281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009454469214410783,"score_gpt":0.2444872100036832,"score_spread":0.2350327407892724,"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."}}