{"id":"W4390849462","doi":"10.2172/2280899","title":"Improving Fission Products at CARIBU: Near Field Detection (Q1/FY24 Quarterly Progress Report)","year":2024,"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":"","keywords":"Fission; Field (mathematics); Environmental science; Nuclear physics; Physics; 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":[0.005661379,0.0008673201,0.0003440797,0.001700655,0.001878437,0.001578921,0.001029661,0.001387838,0.01507736],"category_scores_gemma":[0.001895151,0.0003494263,0.000320916,0.0006670344,0.0004638804,0.0009690279,0.001371462,0.00109351,0.004890515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260811,"about_ca_system_score_gemma":0.007692309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0754226,"about_ca_topic_score_gemma":0.1079657,"domain_scores_codex":[0.9986371,0.0001177386,0.00001831659,0.0001602769,0.0007127026,0.000353801],"domain_scores_gemma":[0.998283,0.000156651,0.0001010999,0.00008671345,0.0009363598,0.0004361742],"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":[0.001635543,0.001646436,0.03268607,0.0003805393,0.0000781703,0.00028071,0.0007001706,0.001285141,0.05432975,0.00416826,0.6510988,0.2517103],"study_design_scores_gemma":[0.0004976649,0.001514644,0.05738188,0.0001170722,0.00007982566,0.0002772034,0.0007340232,0.002825622,0.08778011,0.001596523,0.8471054,0.0000899994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.443734,0.01741649,0.03538812,0.04811865,0.007346969,0.005065491,0.1284843,0.007209852,0.3072361],"genre_scores_gemma":[0.4855629,0.006870837,0.06957884,0.004496334,0.001156118,0.001875045,0.1072945,0.001166241,0.3219992],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0754226,"threshold_uncertainty_score":0.1499671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085514129521442,"score_gpt":0.2730515537325843,"score_spread":0.2621964124373699,"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."}}