{"id":"W2325214947","doi":"10.1021/es302513j","title":"CO<sub>2</sub> Capture in Alkanolamine-RTIL Blends via Carbamate Crystallization: Route to Efficient Regeneration","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Alkanolamine; Carbamate; Ionic liquid; Thermogravimetric analysis; Chemistry; Aqueous solution; Differential scanning calorimetry; Amine gas treating; Diethanolamine; Thermal decomposition; Crystallization; Organic chemistry; Chemical engineering; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008307653,0.0004752229,0.0003345579,0.0002293335,0.0001061121,0.0003367343,0.0002841674,0.0003288064,0.0009505679],"category_scores_gemma":[0.0001463355,0.000162266,0.0002352502,0.0002350058,0.0002106385,0.0004814312,0.0002575441,0.000462977,0.0004562279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749793,"about_ca_system_score_gemma":0.0001458068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006063042,"about_ca_topic_score_gemma":0.001448956,"domain_scores_codex":[0.9999182,0.000004634897,0.000007709886,0.00002822379,0.00002209672,0.00001906838],"domain_scores_gemma":[0.9999071,0.00001222695,0.00004119533,0.000008193643,0.00001838418,0.00001282493],"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":[0.00004089867,0.00001057213,0.0000914631,0.00004636999,0.000003863825,0.00005526422,0.00001168379,0.00005605383,0.9984781,0.00007052457,0.00003214701,0.001102964],"study_design_scores_gemma":[0.000005410178,0.00004589529,0.0004298438,0.000003785192,0.000005819105,0.00009311989,0.000009365769,0.001021189,0.9975324,0.00001191032,0.0008378593,0.00000348555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851137,0.001994674,0.009502765,0.00008724776,0.00003596129,0.00006203572,0.0002444051,0.0003255832,0.002633627],"genre_scores_gemma":[0.9906462,0.0008135581,0.006573705,0.00004430527,0.00001110338,0.0000445659,0.0001853416,0.0000797057,0.001601467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009505679,"threshold_uncertainty_score":0.003179967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003936203854332502,"score_gpt":0.1884006636720344,"score_spread":0.1844644598177019,"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."}}