{"id":"W3013971874","doi":"10.1080/15361055.2019.1705750","title":"Tritium Research and Development Status at KAERI","year":2020,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tritium; Nuclear engineering; Environmental science; Coolant; Fusion power; Heavy water; Deuterium; Neutron generator; Radiochemistry; Nuclear physics; Neutron; Materials science; Neutron source; Chemistry; Physics; Engineering; Plasma","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004966691,0.0000755005,0.00008914539,0.0002524893,0.0006745446,0.000031008,0.0003688046,0.00007015083,0.001577213],"category_scores_gemma":[0.0002170084,0.00006570169,0.000007234385,0.002138374,0.002553484,0.0001919727,0.000703265,0.0001897864,0.0008064224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851675,"about_ca_system_score_gemma":0.00006027406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001458147,"about_ca_topic_score_gemma":0.00004217157,"domain_scores_codex":[0.9982992,0.00002117526,0.0001303079,0.0005110567,0.0005844003,0.0004538738],"domain_scores_gemma":[0.9995363,0.00003898059,0.00001832152,0.000158193,0.00003984728,0.0002084048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000045746,0.00006766693,0.1716385,0.000004576354,0.000002005197,0.00002125347,0.002182615,0.000005978347,0.6333084,0.002191842,0.0007888217,0.1897426],"study_design_scores_gemma":[0.0005459465,0.0003998446,0.2198478,0.000005761126,0.000001179436,0.00001236236,0.0009591072,0.000341241,0.2297644,0.0004478382,0.5474873,0.0001872388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981029,0.00004484726,0.0008745107,0.006649208,0.00004607404,0.0001874909,0.000001381288,0.00009176418,0.01107566],"genre_scores_gemma":[0.9976969,0.0000388304,0.001516337,0.0003024027,0.000006250427,0.0000194068,7.834488e-7,0.000004604671,0.0004145243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5466985,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06082751729270639,"score_gpt":0.3149579493389503,"score_spread":0.2541304320462439,"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."}}