{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867764,0.0004884278,0.0005792988,0.0003505993,0.0004644823,0.0007284179,0.001873358,0.0009639174,0.006378933],"category_scores_gemma":[0.0002480753,0.0004360637,0.0003442411,0.0003045935,0.000185162,0.0005486311,0.0005979831,0.0005505466,0.003074255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007710923,"about_ca_system_score_gemma":0.0006616117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007498236,"about_ca_topic_score_gemma":0.001303238,"domain_scores_codex":[0.9996325,0.00002989203,0.00001380291,0.0001174652,0.0001492892,0.00005701863],"domain_scores_gemma":[0.9998115,0.00002023159,0.00002614085,0.00003770232,0.00006988946,0.00003472148],"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":[0.001642738,0.0003529653,0.004322257,0.0008708675,0.00007659801,0.0005975273,0.0001792725,0.0445959,0.7526212,0.008692383,0.007325831,0.1787224],"study_design_scores_gemma":[0.0003868051,0.00242006,0.009746625,0.0000463309,0.0001073801,0.001459095,0.00009466134,0.2985661,0.5704601,0.002807904,0.1137556,0.0001493388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1908808,0.0003509362,0.7619379,0.0004628463,0.0001587195,0.001070473,0.001226211,0.007957213,0.03595502],"genre_scores_gemma":[0.7251024,0.000163193,0.2399576,0.000210111,0.00004043569,0.0008253023,0.0008076543,0.000194916,0.03269827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006378933,"threshold_uncertainty_score":0.0213396,"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."}}