{"id":"W4287509790","doi":"10.1021/jacsau.2c00320","title":"Nickel-Catalyzed Stereoselective Alkenylation of Ketones Mediated by Hydrazine","year":2022,"lang":"en","type":"article","venue":"JACS Au","topic":"Catalytic C–H Functionalization Methods","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; National Natural Science Foundation of China; Canada Research Chairs; Lanzhou University","keywords":"Chemistry; Reagent; Aryl; Catalysis; Hydrazine (antidepressant); Functional group; Organic chemistry; Alkene; Nickel; Alkyl; Methylene; Hydrazone; Stereoselectivity; Combinatorial chemistry; Yield (engineering)","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":[0.0001520919,0.0004862394,0.0001177694,0.0001294239,0.0001643328,0.0001717057,0.0002336659,0.0001978428,0.002393664],"category_scores_gemma":[0.0001119355,0.00009310606,0.0001590036,0.0001058282,0.0001757251,0.0002333616,0.0002610332,0.0003639938,0.0008145297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695007,"about_ca_system_score_gemma":0.0002668885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006574516,"about_ca_topic_score_gemma":0.001733419,"domain_scores_codex":[0.9999101,0.00001844013,0.000005528368,0.00001792357,0.0000168008,0.00003126248],"domain_scores_gemma":[0.9999789,0.000003103134,0.000003378023,0.000004616778,0.000004126059,0.00000587002],"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":[0.0002317444,0.00008945986,0.0002078713,0.0004224495,0.00002758806,0.0005492514,0.0001201864,0.0005335096,0.9774031,0.004422515,0.001592055,0.01440028],"study_design_scores_gemma":[0.00001404877,0.0002347535,0.0005236847,0.00001048694,0.00001869817,0.0003409459,0.00004431945,0.001159545,0.9863554,0.000431208,0.01085757,0.000009547285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581734,0.007168199,0.04872491,0.0006911597,0.0004084037,0.0001941646,0.0007700719,0.000734199,0.08313553],"genre_scores_gemma":[0.9902014,0.001308693,0.002463294,0.00003163395,0.00001126739,0.00001551892,0.0001630751,0.0000183938,0.005786679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002393664,"threshold_uncertainty_score":0.008007586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624101100627853,"score_gpt":0.2691789099285332,"score_spread":0.2529378989222547,"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."}}