{"id":"W1900884691","doi":"10.13182/fst08-a1797","title":"Tritium Removal and Separation Technology Developments","year":2008,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Separation (statistics); Tritium; Nuclear engineering; Materials science; Nuclear physics; Computer science; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006875995,0.0008432315,0.0004384562,0.00179341,0.0006111911,0.001554761,0.001165626,0.001450169,0.005127304],"category_scores_gemma":[0.0005530912,0.0004246099,0.0006026191,0.001979137,0.000428235,0.001685302,0.0007196588,0.001485595,0.00496878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088252,"about_ca_system_score_gemma":0.0007446613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106731,"about_ca_topic_score_gemma":0.001333294,"domain_scores_codex":[0.9991637,0.00005984268,0.00004814023,0.0001778593,0.0004672825,0.00008313049],"domain_scores_gemma":[0.9997275,0.0000487217,0.0000389742,0.0000397636,0.000119386,0.0000255879],"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":[0.0001423889,0.0002236349,0.0006069979,0.001062363,0.00003699643,0.0004502297,0.0001694532,0.001350582,0.7899183,0.009249909,0.003586095,0.1932031],"study_design_scores_gemma":[0.00001782856,0.0001884683,0.0009452332,0.00006292024,0.00003075127,0.001118289,0.00003759666,0.001553254,0.8254431,0.001082019,0.1694863,0.00003420875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3193196,0.1167708,0.3616117,0.004532035,0.00191529,0.0006978628,0.001297544,0.002746479,0.1911087],"genre_scores_gemma":[0.5670382,0.08687039,0.2165322,0.002206801,0.0006492558,0.0004146125,0.003263025,0.0005299542,0.1224955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005127304,"threshold_uncertainty_score":0.01715255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249957194309017,"score_gpt":0.2853731115118716,"score_spread":0.2628735395687814,"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."}}