{"id":"W2146169875","doi":"10.1002/chem.201200292","title":"Synthesis of Ni–Ru Alloy Nanoparticles and Their High Catalytic Activity in Dehydrogenation of Ammonia Borane","year":2012,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique","funders":"European Office of Aerospace Research and Development; Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Ammonia borane; Dehydrogenation; Catalysis; Bimetallic strip; X-ray photoelectron spectroscopy; Alloy; Inorganic chemistry; Materials science; Oleylamine; Nuclear chemistry; Nanoparticle; Hydrogen storage; Chemistry; Chemical engineering; Metallurgy; Nanotechnology; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001514728,0.000124593,0.0002637407,0.00003160072,0.00005008071,0.00003246297,0.0001741149,0.00002984177,0.0001167817],"category_scores_gemma":[0.0001879277,0.00009984673,0.00003814384,0.00007643782,0.0001113664,0.0002525456,0.00007489929,0.00008110989,0.00001159257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003110984,"about_ca_system_score_gemma":0.00003230073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002277752,"about_ca_topic_score_gemma":0.000001201674,"domain_scores_codex":[0.9988993,0.0002224584,0.0003730271,0.0001258737,0.0001389022,0.0002403756],"domain_scores_gemma":[0.9992523,0.00006165509,0.0003299397,0.0001728725,0.00005007062,0.0001331754],"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":[0.00005348745,0.000112099,0.000686064,0.0001007739,0.00001064897,0.00001908292,0.0004282518,0.00001118138,0.9971575,0.000002350971,0.00001600822,0.001402619],"study_design_scores_gemma":[0.000269571,0.00001666202,0.00244161,0.00009067232,0.00002057337,0.0001675536,0.00009891199,0.00002874017,0.9966706,0.0000138495,0.00008308072,0.00009814595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993919,0.0002399387,0.00001648409,0.00003080338,0.00009208386,0.00004198754,0.00002782412,0.0000104925,0.0001485505],"genre_scores_gemma":[0.9995881,0.00004410925,0.0002114518,0.000005594025,0.0001075289,0.000001579999,0.000001223539,0.00001771769,0.00002265129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001755546,"threshold_uncertainty_score":0.4071631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289451515434613,"score_gpt":0.213881814870666,"score_spread":0.2009872997163199,"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."}}