{"id":"W3034378713","doi":"10.1039/d0ta04835f","title":"CO<sub>2</sub>-switchable membranes: structures, functions, and separation applications in aqueous medium","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fundamental Research Funds for the Central Universities; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province","keywords":"Membrane; Separation (statistics); Gas separation; Materials science; Aqueous medium; Aqueous solution; Chemical engineering; Nanotechnology; Computer science; Chemistry; Engineering; Physical chemistry","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":[0.000156592,0.0004255662,0.0002576672,0.0002737214,0.0004618723,0.0007073194,0.0002713732,0.0008949541,0.001028264],"category_scores_gemma":[0.0002843523,0.000217219,0.0001452171,0.0003313882,0.0003963781,0.001264193,0.0003688313,0.0005247306,0.0004710073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005758818,"about_ca_system_score_gemma":0.0003311043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000917473,"about_ca_topic_score_gemma":0.001525557,"domain_scores_codex":[0.999891,0.00001106242,0.000004250514,0.00002689305,0.00003547158,0.00003121094],"domain_scores_gemma":[0.9999055,0.0000208435,0.00001900119,0.000007518825,0.00002863504,0.00001862481],"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":[0.0001106746,0.00002423367,0.000163083,0.0001374331,0.000007144043,0.0001224062,0.00003860376,0.0002906639,0.9874679,0.0033847,0.0004019045,0.007851178],"study_design_scores_gemma":[0.000008906241,0.00006968647,0.0007357564,0.000007759142,0.000007834226,0.0002749013,0.00005390769,0.002847582,0.9855215,0.0009808299,0.009475281,0.00001597867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053394,0.02961414,0.04023591,0.001934658,0.0004308261,0.00008675232,0.0003555734,0.0006908841,0.02131183],"genre_scores_gemma":[0.9723313,0.006728744,0.01123313,0.0002552285,0.00005215544,0.00005166445,0.0001494838,0.0000590727,0.009139257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028264,"threshold_uncertainty_score":0.004178345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009140610925739456,"score_gpt":0.2256621024618862,"score_spread":0.2165214915361467,"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."}}