{"id":"W2884494236","doi":"10.1039/c8gc01615a","title":"“Sweet” ionic liquid gels: materials for sweetening of fuels","year":2018,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Ministero dell’Istruzione, dell’Università e della Ricerca; Queen's University Belfast","keywords":"Sweetening; Ionic liquid; Sorbent; Chemistry; Renewable energy; Ionic bonding; Chemical engineering; Organic chemistry; Materials science; Sweetening agents; Waste management; Adsorption; Catalysis; Engineering; Ion","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":[],"consensus_categories":[],"category_scores_codex":[0.0001141692,0.0001033962,0.0002094828,0.00001752258,0.00005163492,0.00001217976,0.0001007554,0.00006260903,0.0002374117],"category_scores_gemma":[0.00002938349,0.0001044429,0.00005878788,0.00007993727,0.00005608419,0.00004197489,0.00003876559,0.00002626674,0.00001438633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002509532,"about_ca_system_score_gemma":0.00001016744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007978913,"about_ca_topic_score_gemma":0.00000312574,"domain_scores_codex":[0.9993734,0.00000214416,0.0002437002,0.000124597,0.000104217,0.0001519613],"domain_scores_gemma":[0.9995804,0.00002245777,0.000050795,0.0001864461,0.0001302086,0.00002969454],"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":[0.00001689023,0.000004904879,0.00001281151,0.0002861241,0.00007521552,2.271926e-7,0.0001467027,0.00006476866,0.9982606,0.00001016378,0.0008186278,0.0003030333],"study_design_scores_gemma":[0.0001919356,0.00001815769,0.00003399982,0.00003420949,0.00003303529,0.000001845512,0.00004225565,0.0002623837,0.9947486,0.00004599957,0.004473677,0.0001138802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99359,0.0002759271,0.001727775,0.00003373695,0.0001180105,0.0000712624,0.00008700645,0.0001105555,0.003985714],"genre_scores_gemma":[0.9984655,0.00003133925,0.0002813237,0.00001045956,0.0005686985,0.00002620445,0.00003711225,0.00002313319,0.0005562282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00487549,"threshold_uncertainty_score":0.4259057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374560911815367,"score_gpt":0.2303306017130215,"score_spread":0.2165849925948679,"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."}}