{"id":"W4406199726","doi":"10.1016/j.seppur.2025.131547","title":"Advanced integration and optimization of cryogenic helium recovery in natural gas treatment plants","year":2025,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality","keywords":"Natural gas; Helium; Waste management; Environmental science; Helium gas; Nuclear engineering; Engineering; Physics; Atomic physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002907327,0.0002429545,0.0002623756,0.0002084659,0.0002570721,0.0004767846,0.0003976706,0.00027785,0.0006133804],"category_scores_gemma":[0.0002940303,0.0001492094,0.0001669739,0.0003114823,0.0001785879,0.0003828727,0.0002902552,0.0002091292,0.0001373638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000631482,"about_ca_system_score_gemma":0.0005075156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193412,"about_ca_topic_score_gemma":0.00325578,"domain_scores_codex":[0.9997393,0.00002360112,0.000006566308,0.00004086045,0.0001440917,0.00004559651],"domain_scores_gemma":[0.9999045,0.00001617124,0.00001721364,0.00001319714,0.00004299846,0.000005900462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003819022,0.0001300363,0.003158592,0.0001109341,0.00001866376,0.00007491274,0.00009689068,0.04597951,0.9195552,0.001007395,0.0002440463,0.02924194],"study_design_scores_gemma":[0.00002679691,0.0006303577,0.01122588,0.00001014509,0.00002568429,0.00008754116,0.00007637835,0.08571297,0.8971156,0.0002457809,0.004822441,0.00002036048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758221,0.0005049813,0.02077765,0.0000444313,0.000009679247,0.00002334823,0.00009971829,0.0001571027,0.002561058],"genre_scores_gemma":[0.9929509,0.0001226923,0.005974868,0.000005239071,0.000001742538,0.00001242146,0.00008096078,0.00001878432,0.0008323886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00193412,"threshold_uncertainty_score":0.004581749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005905142288316696,"score_gpt":0.2430432804041942,"score_spread":0.2371381381158775,"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."}}