{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003553659,0.000678841,0.0003091959,0.001075895,0.001644515,0.001700635,0.0008749186,0.00124813,0.0523527],"category_scores_gemma":[0.001530942,0.0003365536,0.0003626452,0.0005818084,0.0003064688,0.0007959092,0.0009121169,0.001096547,0.01687446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887755,"about_ca_system_score_gemma":0.01036927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1210691,"about_ca_topic_score_gemma":0.2045075,"domain_scores_codex":[0.9989943,0.000101427,0.00001330627,0.00007663017,0.0006122675,0.0002020918],"domain_scores_gemma":[0.998401,0.000101275,0.00005068854,0.00006471537,0.001003511,0.000378752],"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":[0.0004528508,0.0009545387,0.007458622,0.0002582607,0.00002570571,0.00008530321,0.0002033645,0.0007409084,0.0174769,0.001506164,0.8608139,0.1100235],"study_design_scores_gemma":[0.0002123539,0.001220044,0.02896843,0.0001280601,0.00004467059,0.0001146192,0.0005881038,0.001522417,0.03088189,0.0008075684,0.9354688,0.00004305887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1154388,0.005487746,0.02422847,0.01877747,0.005465856,0.005041841,0.1951711,0.008579913,0.6218088],"genre_scores_gemma":[0.1793828,0.003459733,0.05332519,0.003175195,0.0003778299,0.001989197,0.1480922,0.001663595,0.6085342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1210691,"threshold_uncertainty_score":0.2407287,"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."}}