{"id":"W2171369741","doi":"10.1021/ja504296x","title":"Rh(I)-Catalyzed Intermolecular Hydroacylation: Enantioselective Cross-Coupling of Aldehydes and Ketoamides","year":2014,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Hydroacylation; Chemistry; Intermolecular force; Enantioselective synthesis; Aldehyde; Rhodium; Catalysis; Ligand (biochemistry); Coupling (piping); Stereochemistry; Combinatorial chemistry; Organic chemistry; Molecule; Receptor","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":[0.0003314122,0.0004910371,0.0002584737,0.0001147032,0.00009680447,0.0002134025,0.0003700106,0.0002048777,0.0008950615],"category_scores_gemma":[0.0002538614,0.0001565513,0.0002042421,0.0001086123,0.0003099446,0.0003864836,0.0003848539,0.0004835996,0.0003985154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603393,"about_ca_system_score_gemma":0.0001738681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238885,"about_ca_topic_score_gemma":0.0008140896,"domain_scores_codex":[0.9998379,0.00003073524,0.00001336468,0.00003335986,0.0000267822,0.00005788432],"domain_scores_gemma":[0.9999017,0.00001667013,0.00003472309,0.00001174644,0.0000116508,0.00002353285],"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":[0.0001313306,0.00002987569,0.0001470941,0.00008158228,0.00001125857,0.0001904534,0.00007831249,0.000302638,0.9951671,0.00102532,0.0001174691,0.00271758],"study_design_scores_gemma":[0.00001389587,0.0001018316,0.0002243315,0.000003114293,0.000009719343,0.0001536778,0.00001567055,0.000550421,0.9976748,0.00005166931,0.001193079,0.000007740516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736069,0.001360304,0.01469615,0.0001698886,0.00006905953,0.00006295809,0.0001734553,0.0002244194,0.009636832],"genre_scores_gemma":[0.9953933,0.0006220981,0.002525084,0.00002381941,0.00001120748,0.00001210323,0.00006775212,0.00002347785,0.001321243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008950615,"threshold_uncertainty_score":0.002994239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00586290581889709,"score_gpt":0.2487840835030977,"score_spread":0.2429211776842006,"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."}}