{"id":"W2288884826","doi":"10.13182/fst14-t5","title":"Multi-Purpose Hydrogen Isotopes Separation Plant Design","year":2015,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Tritium; Heavy water; Tritiated water; Upgrade; Isotope separation; Environmental science; Electrolysis; Hydrogen; Electrolysis of water; Nuclear engineering; Deuterium; Isotope; Process engineering; Radiochemistry; Waste management; Chemistry; Nuclear physics; Physics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584117,0.0001259484,0.0001543474,0.0005238047,0.000173153,0.00002607896,0.0004481651,0.0001732775,0.0000383925],"category_scores_gemma":[0.0003500407,0.000106205,0.00002962503,0.001269548,0.0003522774,0.0002314457,0.0001643273,0.0001510492,0.0002544723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414241,"about_ca_system_score_gemma":0.0001294951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001813209,"about_ca_topic_score_gemma":0.000002715333,"domain_scores_codex":[0.9987372,0.00001783278,0.0002088664,0.0003797067,0.0003170561,0.0003393524],"domain_scores_gemma":[0.9993225,0.00002171684,0.00007445023,0.0003307689,0.0001238368,0.0001267618],"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":[0.00001407337,0.00004138417,0.0001834609,0.000001454755,0.00000244229,0.000003773496,0.0001271413,0.001511574,0.9900396,0.0009324101,0.0002063195,0.006936388],"study_design_scores_gemma":[0.0001856901,0.00005915926,0.00002069299,0.00001010589,0.000005932918,0.00005959069,0.0002400086,0.1174954,0.8756863,0.0003405971,0.005768417,0.0001280876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8379262,0.0003211606,0.1596065,0.0006198533,0.000266878,0.0002920419,0.000004157057,0.0006188499,0.0003443079],"genre_scores_gemma":[0.9693223,0.0000145851,0.03026506,0.00002793941,0.00004333449,0.0000458855,0.000002570809,0.00001172564,0.0002666046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1313961,"threshold_uncertainty_score":0.4330914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04964900562394393,"score_gpt":0.291183228686604,"score_spread":0.24153422306266,"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."}}