{"id":"W3141756641","doi":"10.1021/acscatal.1c00014","title":"Ureate Titanium Catalysts for Hydroaminoalkylation: Using Ligand Design to Increase Reactivity and Utility","year":2021,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Organoboron and organosilicon chemistry","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alexander von Humboldt-Stiftung","keywords":"Catalysis; Reactivity (psychology); Chemistry; Alkene; Amine gas treating; Organic chemistry; Regioselectivity; Titanium; Alkyl; Aryl; Combinatorial 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":[0.0002397433,0.000404592,0.0002018269,0.0003532629,0.0001753502,0.0004831913,0.0005876393,0.0004094767,0.001278554],"category_scores_gemma":[0.0002029827,0.0001937984,0.0002618448,0.0002130577,0.0003012659,0.0004885431,0.0003833599,0.0006116084,0.0005805743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653566,"about_ca_system_score_gemma":0.0002601537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006329495,"about_ca_topic_score_gemma":0.001628044,"domain_scores_codex":[0.9998407,0.00001570214,0.00001172428,0.00003399564,0.00005939189,0.00003846129],"domain_scores_gemma":[0.9999362,0.00001083323,0.00001764416,0.000008043877,0.00001467086,0.00001256247],"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":[0.00005880341,0.00002648183,0.0001120519,0.000179487,0.00001065797,0.00009103047,0.00003794121,0.000506708,0.9804089,0.002495063,0.0002197657,0.01585308],"study_design_scores_gemma":[0.00001363937,0.0001490226,0.0001651211,0.000009023187,0.00001253346,0.0001806733,0.00001063784,0.001489807,0.9861431,0.0001949201,0.01162113,0.00001036954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8301128,0.01780967,0.1148587,0.000782446,0.0002717995,0.0002662127,0.0004573396,0.001157538,0.03428355],"genre_scores_gemma":[0.9316139,0.007127569,0.05041485,0.0001955486,0.00006196086,0.0001158068,0.0003601468,0.0001259949,0.009984311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001278554,"threshold_uncertainty_score":0.004827499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071377927452535,"score_gpt":0.2649109384565411,"score_spread":0.2341971591820157,"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."}}