{"id":"W2317374166","doi":"10.1021/acssuschemeng.5b00206","title":"Sustainable Synthesis of Magnetic Ruthenium-Coated Iron Nanoparticles and Application in the Catalytic Transfer Hydrogenation of Ketones","year":2015,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bimetallic strip; Catalysis; Ruthenium; Transfer hydrogenation; Nanoparticle; X-ray photoelectron spectroscopy; Leaching (pedology); Inductively coupled plasma; Selectivity; Copper; Chemistry; Magnetic nanoparticles; Palladium; Materials science; Inorganic chemistry; Chemical engineering; Nanotechnology; Organic chemistry; Plasma","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":[0.0001763934,0.0002972483,0.0001788258,0.0002793654,0.0001422995,0.0002326908,0.000358798,0.0004991172,0.0007402686],"category_scores_gemma":[0.0001658778,0.0001811073,0.0002177725,0.0001135469,0.0001825394,0.0002507164,0.0001894314,0.0002632373,0.0003773311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368548,"about_ca_system_score_gemma":0.0001355565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002777237,"about_ca_topic_score_gemma":0.0006378465,"domain_scores_codex":[0.9998975,0.00001186999,0.000008246855,0.00002532422,0.00003680978,0.00002031796],"domain_scores_gemma":[0.9999462,0.000007668867,0.0000134153,0.000007874844,0.00001422781,0.00001059153],"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":[0.00002223429,0.00003501035,0.00004554624,0.00008313145,0.000005256971,0.0001015317,0.00002001854,0.0004274858,0.99485,0.0004893749,0.0001137206,0.003806802],"study_design_scores_gemma":[0.00001004857,0.0001113023,0.000247996,0.000004301935,0.000007027817,0.0001339151,0.00000917529,0.002038262,0.9949542,0.0000831718,0.002394712,0.000005938329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567198,0.005296048,0.02787582,0.0004117233,0.00011309,0.0000995989,0.0002396801,0.0003899618,0.008854246],"genre_scores_gemma":[0.9882374,0.001034841,0.008309603,0.00003844427,0.00001372497,0.00002585902,0.0001457772,0.0000248894,0.002169429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007402686,"threshold_uncertainty_score":0.002476394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004737849287577216,"score_gpt":0.1892795445765705,"score_spread":0.1845416952889933,"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."}}