{"id":"W4410484221","doi":"10.1021/acs.orglett.5c01372","title":"Copper-Catalyzed Chemoselective Hydrogenation of Unsaturated Bonds with Formic Acid/Formate as Hydrogen Donor","year":2025,"lang":"en","type":"article","venue":"Organic Letters","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":0,"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; Qinghai Provincial Department of Science and Technology; Fonds Québécois de la Recherche sur la Nature et les Technologies; Chinese Academy of Sciences; Canada Foundation for Innovation; National Natural Science Foundation of China; Chinese Academy of Sciences Key Project; Canada Research Chairs","keywords":"Chemistry; Formic acid; Catalysis; Formate; Copper; Hydrogen bond; Hydrogen; Organic chemistry; Combinatorial chemistry; Polymer chemistry; Molecule","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":[0.0002718201,0.0007268726,0.0002967471,0.0003018118,0.0002329497,0.0002968606,0.0006568497,0.0004500426,0.0008038806],"category_scores_gemma":[0.0002040749,0.0002167789,0.0001516949,0.0002360919,0.0003640689,0.0004283808,0.0004600416,0.0003382997,0.0003447794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968603,"about_ca_system_score_gemma":0.0005144248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510355,"about_ca_topic_score_gemma":0.002465244,"domain_scores_codex":[0.9997985,0.00002619406,0.00001699656,0.00004393672,0.0000392808,0.00007506604],"domain_scores_gemma":[0.9999474,0.00000669781,0.00001371102,0.000007891347,0.000009072965,0.00001519708],"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":[0.000166426,0.0001050656,0.0002977111,0.0002892872,0.00003946866,0.0005896119,0.00009467154,0.0006806312,0.9714928,0.001670076,0.0008286631,0.02374566],"study_design_scores_gemma":[0.00001580849,0.0001156731,0.0001733116,0.000002956973,0.00001145907,0.0001710125,0.00002039261,0.0006006356,0.9957907,0.00007008519,0.003018417,0.000009634679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308228,0.005564768,0.04519271,0.0004662892,0.0002453074,0.0002934535,0.0004354988,0.0005414866,0.01643763],"genre_scores_gemma":[0.9868467,0.001470153,0.007998021,0.00005116905,0.00001540758,0.00002925192,0.0001393444,0.00001453679,0.003435351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001510355,"threshold_uncertainty_score":0.003605008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003671196746439935,"score_gpt":0.2048012153964296,"score_spread":0.2011300186499897,"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."}}