{"id":"W2945650023","doi":"10.1021/acscatal.9b01037","title":"Enantioselective Hydrogenations of Esters with Dynamic Kinetic Resolution","year":2019,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Kinetic resolution; Enantioselective synthesis; Chemistry; Cyclohexane; Catalysis; Enantiomer; Diamine; Enantiomeric excess; Solvent; Organic chemistry; Kinetic energy; 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":[0.0003409264,0.0005731354,0.0004393792,0.0002004331,0.0001476363,0.0002998881,0.0005291791,0.000339807,0.002152283],"category_scores_gemma":[0.0003135554,0.0002145866,0.0002461953,0.0002598297,0.000212287,0.0006007053,0.0004510395,0.0007381975,0.00105944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805114,"about_ca_system_score_gemma":0.000177015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291546,"about_ca_topic_score_gemma":0.000644769,"domain_scores_codex":[0.9997893,0.00003526082,0.00001839689,0.00004177865,0.00004751627,0.00006771612],"domain_scores_gemma":[0.9999018,0.00001813445,0.0000250186,0.00002610918,0.000013621,0.0000153235],"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":[0.0003840069,0.00009708391,0.0002558855,0.000146155,0.00003636185,0.0003410429,0.0001075669,0.0007275054,0.9824107,0.001035472,0.0005219976,0.0139363],"study_design_scores_gemma":[0.00001810189,0.00009888177,0.0001604056,0.000002983836,0.000006681982,0.0001242806,0.000009856849,0.0003408247,0.9965544,0.00003978577,0.002637018,0.000006856193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617127,0.002219898,0.01664887,0.0002417394,0.00009826877,0.0001072033,0.0009887574,0.0004316209,0.01755096],"genre_scores_gemma":[0.9868379,0.001411303,0.005226396,0.00006092279,0.00002335669,0.00004569778,0.0004645371,0.00008032886,0.005849442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002152283,"threshold_uncertainty_score":0.007200122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003286450377415836,"score_gpt":0.2029457933744202,"score_spread":0.1996593429970043,"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."}}