{"id":"W2168526011","doi":"10.1039/c5gc00086f","title":"Noyori–Ikariya catalyst supported on tetra-arylphosphonium salt for asymmetric transfer hydrogenation in water","year":2015,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Canada Research Chairs","keywords":"Transfer hydrogenation; Ruthenium; Tetra; Catalysis; Salt (chemistry); Chemistry; Noyori asymmetric hydrogenation; Organic chemistry; Enantioselective synthesis; Combinatorial chemistry; Polymer chemistry; Medicinal 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":[0.0001399246,0.0005580458,0.000421255,0.0002373497,0.0001899247,0.0001914249,0.0005574915,0.000362233,0.0007787989],"category_scores_gemma":[0.0001157377,0.0002631048,0.0002255275,0.0002216978,0.0002152425,0.0005603344,0.0004589838,0.000634402,0.0006884139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821614,"about_ca_system_score_gemma":0.000248104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821389,"about_ca_topic_score_gemma":0.0009569005,"domain_scores_codex":[0.9998968,0.00001083668,0.00001310701,0.00001965319,0.00003299718,0.00002658135],"domain_scores_gemma":[0.9999734,0.000004108614,0.000006002798,0.000004297607,0.000004312502,0.000007899435],"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":[0.00009520524,0.00008542741,0.000161603,0.0003291685,0.00001774052,0.0002797704,0.00006336957,0.0006052756,0.9796228,0.0008821078,0.0002977936,0.01755966],"study_design_scores_gemma":[0.00002798303,0.0003134437,0.0006173647,0.00001478776,0.0000345051,0.0002619117,0.00002492383,0.002547748,0.9914228,0.0002250634,0.004490585,0.00001888349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367851,0.008418663,0.03930658,0.0005018623,0.0002602927,0.0001101766,0.0001736588,0.000306938,0.01413659],"genre_scores_gemma":[0.9831274,0.00496411,0.006478552,0.00005047248,0.00003132088,0.00004398343,0.0001969299,0.00004810577,0.005059156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007787989,"threshold_uncertainty_score":0.002605319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008248428349644,"score_gpt":0.2395681413487032,"score_spread":0.2194856570652068,"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."}}