{"id":"W2013831034","doi":"10.1016/j.egypro.2011.01.081","title":"Off-gas emission in CO2 capture process using aqueous monoethanolamine solution","year":2011,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aqueous solution; Process (computing); Process engineering; Environmental science; Petroleum engineering; Chemical engineering; Materials science; Waste management; Chemistry; Computer science; Engineering; Physical chemistry; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007404687,0.0002480612,0.0002323678,0.0002040077,0.00001796665,0.00001282398,0.0002395005,0.0003536439,0.00002062537],"category_scores_gemma":[0.0001144542,0.0002459061,0.0000435404,0.000455324,0.00005257738,0.0001863094,0.00005504455,0.0002790744,0.000006490657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856551,"about_ca_system_score_gemma":0.00004648687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001812963,"about_ca_topic_score_gemma":0.0002165465,"domain_scores_codex":[0.9989238,0.000009481955,0.0002515104,0.0002685978,0.0001630223,0.0003835372],"domain_scores_gemma":[0.9995649,0.00001532123,0.00005093476,0.0002510215,0.00005323187,0.00006460802],"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":[0.0002668157,0.0003978418,0.02267252,0.001191319,0.000179813,0.0006572467,0.01268927,0.07055543,0.7999657,0.002897575,0.004928534,0.08359794],"study_design_scores_gemma":[0.0006940997,0.00004934646,0.00178154,0.0002375763,0.00003077677,0.0001263177,0.0007038132,0.1630846,0.827028,0.004207064,0.00127994,0.000776934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887444,0.002916401,0.001026403,0.00002629179,0.0002812762,0.0001107988,0.000002899924,0.001338088,0.005553436],"genre_scores_gemma":[0.9981377,0.0001711587,0.001391437,0.00002431208,0.0000790965,0.00004591508,0.000006281783,0.0000607138,0.00008339381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09252919,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689423697290683,"score_gpt":0.2074279060336966,"score_spread":0.1905336690607898,"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."}}