{"id":"W4312206933","doi":"","title":"INL Contributions to Draft HTTF Benchmark Specifications","year":2022,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Office of Nuclear Energy; Canadian Nuclear Laboratories; Idaho Operations Office, U.S. Department of Energy; Oregon State University; U.S. Department of Energy","keywords":"Benchmark (surveying); Hull; Computer science; Operations research; Engineering; Marine engineering; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01229601,0.002083019,0.001250312,0.003737813,0.001568868,0.006544332,0.006198651,0.002433568,0.06907148],"category_scores_gemma":[0.04109966,0.0009597163,0.001424218,0.003335288,0.0008044986,0.003645964,0.003104433,0.002978058,0.03134364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007908867,"about_ca_system_score_gemma":0.009050845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0265223,"about_ca_topic_score_gemma":0.02175608,"domain_scores_codex":[0.982885,0.003380259,0.001175312,0.0009095918,0.01023619,0.001413547],"domain_scores_gemma":[0.9688892,0.003754017,0.001203714,0.00448,0.02050157,0.001171453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000486805,0.0005309661,0.001485824,0.0007883749,0.00003585864,0.0002604625,0.0002852712,0.0971262,0.006801751,0.1135687,0.5795735,0.1990564],"study_design_scores_gemma":[0.0001361618,0.0002018887,0.0006277164,0.0004094069,0.0000242134,0.0001828921,0.0002229606,0.1018547,0.01353125,0.02482467,0.8578751,0.0001089789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01198485,0.0008950462,0.5228944,0.005203656,0.002275065,0.002422271,0.05746783,0.02961572,0.3672413],"genre_scores_gemma":[0.1243789,0.001677401,0.4752472,0.00258522,0.0009471558,0.004800025,0.234899,0.02586875,0.1295963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06907148,"threshold_uncertainty_score":0.2310671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00860945382486351,"score_gpt":0.2115304408387469,"score_spread":0.2029209870138834,"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."}}