{"id":"W4400611652","doi":"10.2172/2397034","title":"Improving Fission Products at CARIBU: Near Field Detection (Q3/FY24 Quarterly Progress Report)","year":2024,"lang":"en","type":"report","venue":"","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Deliverable; Schedule; Quarter (Canadian coin); Nuclear fission product; Product (mathematics); Projection (relational algebra); Computer science; Operations management; Operations research; Mathematics; Engineering; Nuclear engineering; Operating system; Fission products; Geography; Systems engineering; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002499572,0.000518425,0.0004697814,0.0001484723,0.00009086551,0.0002968979,0.0001650549,0.0004698449,0.00007156928],"category_scores_gemma":[0.00005694179,0.0004786557,0.0001854265,0.0003015322,0.00001999049,0.0001673767,0.00009213776,0.0008811489,0.0001266211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007319611,"about_ca_system_score_gemma":0.0001691166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784549,"about_ca_topic_score_gemma":0.00007790572,"domain_scores_codex":[0.9976789,0.0000077123,0.0005615281,0.0006460497,0.0006253272,0.0004804555],"domain_scores_gemma":[0.9988086,0.00002330177,0.0001101806,0.0007294105,0.0001895803,0.0001389388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000157754,0.00004614126,0.00004167604,0.01119901,0.000608652,0.002635607,0.0005324509,0.001078383,0.1166835,0.00005702158,0.0763087,0.7907931],"study_design_scores_gemma":[0.0001264264,0.0002498829,0.00009778218,0.0008083608,0.0002553811,0.001475598,0.00003359159,0.04481186,0.03581442,0.0000681177,0.9148889,0.001369727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3558317,0.02552374,0.01068355,0.0006860482,0.0961476,0.005036891,0.0001870197,0.02375453,0.4821489],"genre_scores_gemma":[0.987074,0.0001213096,0.0006159328,0.00000564337,0.002083407,0.00009041405,0.0001695382,0.0004687009,0.009371059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8385801,"threshold_uncertainty_score":0.9997665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008441596469165685,"score_gpt":0.2177838267106366,"score_spread":0.2093422302414709,"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."}}