{"id":"W4376277959","doi":"10.1140/epja/s10050-023-01012-9","title":"Measuring neutron capture cross sections of radioactive nuclei","year":2023,"lang":"en","type":"article","venue":"The European Physical Journal A","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McMaster University; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; TRIUMF","keywords":"Nuclear physics; Neutron; Physics; Neutron capture; Isotope; Range (aeronautics); Neutron source; Radiochemistry; Chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004462149,0.0001345568,0.0001891128,0.00005351376,0.0005335643,0.0001061075,0.0003924191,0.000006258225,0.00001441951],"category_scores_gemma":[0.00001467726,0.00008677156,0.0002514681,0.0004103168,0.0002134109,0.0001667493,0.0002603503,0.0006595587,0.0003682724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551627,"about_ca_system_score_gemma":0.00002447183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002935196,"about_ca_topic_score_gemma":2.943846e-7,"domain_scores_codex":[0.9986188,0.000392118,0.0001700929,0.0001388335,0.0003579796,0.0003222032],"domain_scores_gemma":[0.9992473,0.0001464763,0.0001341461,0.000219645,0.0001555275,0.00009694168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004521401,0.002458014,0.007404749,0.0001269165,0.005248066,0.0001972334,0.07943799,0.06235385,0.5292467,0.05638352,0.0839406,0.1727502],"study_design_scores_gemma":[0.005680337,0.0007868432,0.6394039,0.0004809417,0.0004802031,0.0000713406,0.0246999,0.00530294,0.04426143,0.2520916,0.02492893,0.00181163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784906,0.00001268347,0.00007764433,0.0002979638,0.0001290995,0.00009271954,0.00002502598,0.00004460766,0.1208297],"genre_scores_gemma":[0.9964386,0.00000544382,0.00001290454,0.000008994404,0.002754324,0.000002107921,0.000002085693,0.00004399372,0.0007314965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6319992,"threshold_uncertainty_score":0.4733519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842552039742276,"score_gpt":0.296843634559776,"score_spread":0.2584181141623533,"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."}}