{"id":"W2560899810","doi":"10.1039/c6dt04572c","title":"Using chiral ionic liquid additives to enhance asymmetric induction in a Diels–Alder reaction","year":2016,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Ionic liquid; Trifluoromethanesulfonate; Diels–Alder reaction; Oxazoline; Catalysis; Chemistry; Asymmetric induction; Ligand (biochemistry); Chiral ligand; Organic chemistry; Enantioselective synthesis; Polymer chemistry; Medicinal chemistry; Receptor","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":[0.0002541661,0.0005627311,0.000329691,0.0002943144,0.0001235899,0.0004819106,0.0003595657,0.0002893048,0.0009152771],"category_scores_gemma":[0.0002653148,0.0002018327,0.0002159614,0.000205994,0.0002406612,0.0003481589,0.0003107992,0.0004817657,0.0004908656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004557069,"about_ca_system_score_gemma":0.0002508108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006043505,"about_ca_topic_score_gemma":0.001301021,"domain_scores_codex":[0.9997699,0.00004396514,0.00002659479,0.0000344151,0.00007058126,0.00005465865],"domain_scores_gemma":[0.9998446,0.00003135504,0.0000533672,0.00001362407,0.00002757276,0.00002945919],"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":[0.00009103341,0.00002590496,0.00007051389,0.00006328702,0.000005018101,0.00005647754,0.00001781249,0.0001460746,0.9970112,0.0002064,0.00004224868,0.002264008],"study_design_scores_gemma":[0.000007940537,0.00004613558,0.00007602751,0.000001628349,0.00000471596,0.00002492234,0.000003464487,0.0003945175,0.9986408,0.000009313846,0.0007876273,0.000002771201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803321,0.001714293,0.01226246,0.0002292114,0.00007525998,0.00006139174,0.0001460434,0.0004073039,0.004771942],"genre_scores_gemma":[0.9901921,0.0008227734,0.005954569,0.00005802924,0.00001511615,0.00002323443,0.0001139271,0.00003450393,0.002785829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009152771,"threshold_uncertainty_score":0.003306389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379294325403533,"score_gpt":0.2778783576532862,"score_spread":0.2540854143992509,"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."}}