{"id":"W2364170831","doi":"","title":"Real-time measurement of the prompt neutron decay constant based on ~(252)Cf source","year":2010,"lang":"en","type":"article","venue":"Journal of Chongqing University. English Edition","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Exponential decay; Neutron; Neutron source; Time constant; Constant (computer programming); Physics; Prompt neutron; Californium; Neutron detection; Detector; Nuclear physics; Computational physics; Neutron temperature; Delayed neutron; Optics; Computer science; Electrical engineering","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":[0.0002660303,0.00009002732,0.0001402517,0.00006213301,0.0001691479,0.00002487685,0.0002312457,0.00003439944,0.0001286115],"category_scores_gemma":[0.00001164704,0.00007509187,0.0001640231,0.0001697903,0.00007183095,0.0001630468,0.00002701911,0.0003396878,0.00000358053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005504317,"about_ca_system_score_gemma":0.0001438109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001662427,"about_ca_topic_score_gemma":0.000001182047,"domain_scores_codex":[0.9992028,0.00004835619,0.0001753946,0.00009460164,0.0003677621,0.0001110148],"domain_scores_gemma":[0.9986495,0.00005841501,0.000450064,0.0001919133,0.0005839327,0.00006616262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001662009,0.001321844,0.005001077,0.00003183277,0.0001907845,0.000003325313,0.0009866914,0.005446413,0.8802073,0.0816177,0.01979983,0.00522703],"study_design_scores_gemma":[0.01378814,0.001209836,0.06225806,0.001889503,0.001300484,0.000007826544,0.008304047,0.01170701,0.4286603,0.01005765,0.4592071,0.001610088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572858,8.881657e-7,0.001764012,0.0004006807,0.0007011273,0.0001738908,0.00003320524,0.00001589584,0.03962451],"genre_scores_gemma":[0.9987069,8.255858e-7,0.0002500059,0.000009738581,0.0009202629,3.040623e-7,0.000004112437,0.00001040508,0.00009746386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.451547,"threshold_uncertainty_score":0.3062158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005308347310358447,"score_gpt":0.1809508207842123,"score_spread":0.1756424734738539,"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."}}