{"id":"W2619292788","doi":"10.1039/c7gc00298j","title":"Amphiphilic dipyridinium-phosphotungstate as an efficient and recyclable catalyst for triphasic fatty ester epoxidation and oxidative cleavage with hydrogen peroxide","year":2017,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Hydrogen peroxide; Amphiphile; Oxidative cleavage; Chemistry; Catalysis; Oxidative phosphorylation; Selectivity; Cleavage (geology); Peroxide; Organic chemistry; Polymer chemistry; Biochemistry; Copolymer; Materials science; Polymer","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":[0.0001453095,0.000321081,0.0001755729,0.0001801048,0.00009877318,0.000225852,0.0002973739,0.0003053713,0.0005601056],"category_scores_gemma":[0.0001068314,0.0002054683,0.0001439803,0.0001285954,0.000175825,0.0003261117,0.0003311574,0.0003812698,0.0003421938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278597,"about_ca_system_score_gemma":0.000179311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001727452,"about_ca_topic_score_gemma":0.0003224313,"domain_scores_codex":[0.9999244,0.000007864494,0.000008646935,0.00001738377,0.00002363478,0.00001805014],"domain_scores_gemma":[0.9999721,0.000003954433,0.000006434884,0.000005330506,0.00000473579,0.000007402312],"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":[0.00003977776,0.00001526584,0.00006806298,0.00004288718,0.000003900461,0.00005175816,0.00001282478,0.00007791695,0.994511,0.0002881923,0.00005641226,0.004831885],"study_design_scores_gemma":[0.000009283523,0.00006270589,0.0001723831,0.000001652368,0.000007332834,0.00009816849,0.000003747553,0.0007184527,0.9977713,0.0000237163,0.001127695,0.000003512054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823403,0.001232622,0.01345636,0.00008700694,0.00004988399,0.00003073442,0.00007579789,0.0001662678,0.002560984],"genre_scores_gemma":[0.9889256,0.0006955595,0.006997557,0.00002714402,0.00001018341,0.00002213753,0.0001072457,0.00002829538,0.003186282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005601056,"threshold_uncertainty_score":0.001873732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729051390033643,"score_gpt":0.2593642277362384,"score_spread":0.2420737138359019,"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."}}