{"id":"W3195825169","doi":"","title":"Methodology used in ACR-1000® fission product release source-term calculation","year":2010,"lang":"en","type":"article","venue":"","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Term (time); Nuclear fission product; Product (mathematics); Long-lived fission product; Environmental science; Fission; Fission products; Radiochemistry; Chemistry; Fission product yield; Nuclear physics; Physics; Mathematics; Neutron","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":[0.0001457703,0.0001094281,0.0001329319,0.00008409906,0.00001652019,0.00001662982,0.00007598422,0.00007167752,0.00009688862],"category_scores_gemma":[0.00002938374,0.0001024178,0.00003086198,0.0001385395,0.000009341268,0.0001093301,0.00002120862,0.0002936526,0.0000380477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002127104,"about_ca_system_score_gemma":0.000004930941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000538008,"about_ca_topic_score_gemma":0.00004408718,"domain_scores_codex":[0.9994472,0.00001476103,0.00013868,0.000139322,0.00007114059,0.000188896],"domain_scores_gemma":[0.9996592,0.00004393338,0.00001132936,0.0002126606,0.00001138072,0.00006153609],"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":[0.000003505675,0.00001442948,0.002122303,0.00003182323,0.000007583346,0.000003096613,0.0002541118,0.02128143,0.9488781,0.001334806,0.0002305846,0.02583822],"study_design_scores_gemma":[0.0009624269,0.00003465558,0.1181234,0.00004790377,0.00002041341,0.0000221522,0.00005505039,0.5864192,0.2288751,0.0004476001,0.06414794,0.0008441361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821399,0.00001296791,0.01363776,0.00004495112,0.0004702494,0.00009519425,7.414911e-7,0.0003194135,0.003278854],"genre_scores_gemma":[0.9959349,0.00000467803,0.003656955,0.000008577641,0.000172618,0.000005420834,0.000008328374,0.00004506553,0.0001634697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.720003,"threshold_uncertainty_score":0.4176476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436351559883111,"score_gpt":0.253834759740055,"score_spread":0.2294712441412239,"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."}}