{"id":"W4224101688","doi":"10.2172/1863164","title":"Improving Fission Products at CARIBU: Near Field Detection (Q2/FY22 Quarterly Progress Report)","year":2022,"lang":"en","type":"report","venue":"","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Xenon; Detonation; Adsorption; TRACER; Fission; Nuclear engineering; Fission products; Langmuir; Environmental science; Field (mathematics); Materials science; Nuclear physics; Chemistry; Physics; Engineering; Physical chemistry; Neutron; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.006014769,0.0006270069,0.0003088653,0.001792709,0.002180325,0.002399333,0.001050354,0.001094298,0.02094058],"category_scores_gemma":[0.002613211,0.0004278488,0.0003529488,0.0009647576,0.0005506342,0.001238195,0.001479095,0.00130624,0.007632687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918182,"about_ca_system_score_gemma":0.01306211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1799168,"about_ca_topic_score_gemma":0.3233842,"domain_scores_codex":[0.997731,0.000152704,0.00002642103,0.0001783693,0.00151049,0.0004010439],"domain_scores_gemma":[0.9961707,0.0001775217,0.0001108899,0.0001860318,0.002490207,0.0008645883],"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":[0.0005642092,0.00132946,0.04255853,0.0003175269,0.00004540835,0.0002732184,0.001101012,0.001173385,0.0457366,0.003204858,0.6684731,0.2352228],"study_design_scores_gemma":[0.0001359426,0.001090173,0.06955851,0.0001056935,0.00003802361,0.0002796231,0.001504125,0.002178258,0.03975163,0.0008202876,0.8844752,0.00006249502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3180889,0.007150958,0.0429556,0.03509485,0.004952724,0.00429097,0.08235691,0.01228886,0.4928203],"genre_scores_gemma":[0.3500835,0.003610222,0.09146298,0.004147802,0.0004778039,0.001045197,0.07731821,0.001877462,0.4699768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1799168,"threshold_uncertainty_score":0.3577392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132666310513505,"score_gpt":0.2646738510540962,"score_spread":0.2533471879489612,"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."}}