{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002414139,0.0002533144,0.0003585748,0.000659532,0.0001119868,0.00006497352,0.0003980323,0.0001859774,0.002124578],"category_scores_gemma":[0.00008800127,0.0002758863,0.00009814037,0.0006986117,0.000204258,0.0002140621,0.0001994406,0.0001914764,0.00008973148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362102,"about_ca_system_score_gemma":0.00005521943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499712,"about_ca_topic_score_gemma":0.00002795635,"domain_scores_codex":[0.9984722,0.00001542691,0.0005987998,0.0002012777,0.0004463764,0.0002659394],"domain_scores_gemma":[0.9988816,0.00006713954,0.0001898846,0.000577665,0.0001143572,0.0001693816],"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":[0.0000140977,0.0001297692,0.00002480121,0.0002029227,0.0001304801,0.000001231396,0.000007985715,0.0132931,0.0009052283,0.07215509,0.9119604,0.001174906],"study_design_scores_gemma":[0.0001876404,0.00005277345,0.001809081,0.00006619674,0.00004318543,0.000006165795,0.000003514469,0.0001297361,0.0003480038,0.0000570455,0.9970336,0.0002630553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008678566,0.0004053517,0.01068475,0.0001652315,0.0008854438,0.0004506605,0.002383594,0.0006685481,0.9834886],"genre_scores_gemma":[0.9435273,0.0003718944,0.0103972,0.000128693,0.0001542358,0.0002820688,0.01327676,0.0003073187,0.03155457],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.951934,"threshold_uncertainty_score":0.9999693,"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."}}