{"id":"W4406841222","doi":"10.48550/arxiv.2501.14559","title":"Measurement of Radon-222 concentration in N2 using an activated charcoal trap","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vale Canada Limited","keywords":"Activated charcoal; Trap (plumbing); Radon; Charcoal; Chemistry; Radiochemistry; Environmental science; Environmental chemistry; Physics; Adsorption; Physical chemistry; Nuclear physics; Environmental engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000632251,0.000518469,0.0003645814,0.0007781379,0.0006351961,0.0007641587,0.0006270619,0.0009051744,0.001532614],"category_scores_gemma":[0.0006165187,0.0003075999,0.0003095776,0.0006839608,0.0004576273,0.0002750627,0.0005522815,0.0005011724,0.0008059676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006070678,"about_ca_system_score_gemma":0.0005143895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287595,"about_ca_topic_score_gemma":0.006593709,"domain_scores_codex":[0.9992126,0.0001284671,0.00002030128,0.0001961987,0.00034973,0.00009269475],"domain_scores_gemma":[0.9995785,0.000111904,0.0000602787,0.00005754379,0.0001446499,0.00004711948],"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":[0.0002839862,0.00005685524,0.002251705,0.00006789907,0.00002590808,0.0001359225,0.0001368844,0.0005294053,0.9929026,0.000430147,0.0002613869,0.002917242],"study_design_scores_gemma":[0.00001113643,0.0001713944,0.003815933,0.00001184357,0.00001976436,0.0001408575,0.00007475756,0.003360796,0.9876955,0.0001124153,0.004568066,0.00001756186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294174,0.001162923,0.0577085,0.0001022907,0.00007970572,0.0001272935,0.001271158,0.0009719697,0.009158923],"genre_scores_gemma":[0.9562423,0.0009284933,0.02971057,0.00009958054,0.00001467186,0.0001214238,0.001221287,0.0002831655,0.01137847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003287595,"threshold_uncertainty_score":0.006536901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143947804693571,"score_gpt":0.3132003744317685,"score_spread":0.1988055939624114,"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."}}