{"id":"W4408554509","doi":"10.1016/j.nima.2025.170422","title":"Measurement of low 222Rn concentration in N2 using an activated charcoal trap","year":2025,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Foundation for Innovation; Vale Canada Limited","keywords":"Activated charcoal; Trap (plumbing); Charcoal; Environmental science; Environmental chemistry; Chemistry; Chromatography; Environmental engineering; Physical chemistry; Organic chemistry; Adsorption","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00603804,0.0002468482,0.0005341414,0.000636429,0.0006561301,0.00006753722,0.0001523675,0.0002934831,0.00004222364],"category_scores_gemma":[0.0002766345,0.0002407139,0.0000575119,0.001466299,0.0001667174,0.0004982157,0.0001275326,0.001307211,4.662148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297995,"about_ca_system_score_gemma":0.0002978791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194141,"about_ca_topic_score_gemma":0.0002535344,"domain_scores_codex":[0.9935882,0.003538659,0.0007251239,0.0005437048,0.0008233822,0.0007809508],"domain_scores_gemma":[0.9988998,0.0001729942,0.0002811537,0.0002070903,0.0002734245,0.0001655728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002903294,0.0007511088,0.04644053,0.0002166231,0.0001570329,0.000001617822,0.002308158,0.00002215213,0.9034772,0.0001553536,0.000009156538,0.04617074],"study_design_scores_gemma":[0.01495561,0.001979199,0.3668823,0.00426916,0.00009573381,0.000001693219,0.01384401,0.022335,0.5702385,0.004018106,0.0003951029,0.0009855104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971672,0.00006084531,0.0005210016,0.00005291432,0.0005414452,0.001137048,0.000008386733,0.00003171928,0.0004794924],"genre_scores_gemma":[0.9975457,0.0003411627,0.001889986,0.00006009542,0.00006344598,0.00005226147,0.000004627369,0.00002903379,0.0000137416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3332387,"threshold_uncertainty_score":0.9816026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787629786541386,"score_gpt":0.4844706933213104,"score_spread":0.3057077146671718,"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."}}