{"id":"W2902099111","doi":"10.1038/s41560-018-0296-8","title":"Multi-site electrocatalysts for hydrogen evolution in neutral media by destabilization of water molecules","year":2018,"lang":"en","type":"article","venue":"Nature Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":706,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Science; Connaught Fund; Canadian Light Source; University of Toronto; U.S. Department of Energy","keywords":"Catalysis; Overpotential; Dissociation (chemistry); Hydride; Electrolyte; Hydrogen; Chemical engineering; Platinum; Water splitting; Hydrogen production; Chemistry; Inorganic chemistry; Materials science; Electrolysis of water; Hydrogen fuel; Nanotechnology; Electrochemistry; Electrode; Electrolysis; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291085,0.0002741346,0.0002123333,0.0001370519,0.0001609089,0.0002470691,0.0003300432,0.0002850384,0.001463068],"category_scores_gemma":[0.0001924876,0.0001559076,0.0001293222,0.0000751251,0.0002528698,0.0004239373,0.00033111,0.00059341,0.0002266841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868571,"about_ca_system_score_gemma":0.0001205655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003294993,"about_ca_topic_score_gemma":0.001150985,"domain_scores_codex":[0.999897,0.000008050737,0.000005861735,0.00002545554,0.00003177943,0.00003179762],"domain_scores_gemma":[0.999945,0.00001567167,0.0000110416,0.000007421161,0.000009919225,0.00001093878],"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":[0.00006380578,0.00002182095,0.00005619923,0.00002999488,0.000004711494,0.00002816877,0.00002102619,0.0001326631,0.9971444,0.0004362898,0.0001543245,0.001906502],"study_design_scores_gemma":[0.000005349707,0.00003361115,0.0001221107,0.00000106049,0.000002778357,0.00001432798,0.000007528728,0.0007986,0.9984268,0.00004070601,0.0005451861,0.000002001529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931116,0.0005854473,0.003562873,0.0001758398,0.00009480601,0.00002335647,0.00005391837,0.0001247184,0.002267449],"genre_scores_gemma":[0.9977102,0.000187466,0.0006072718,0.00004288962,0.000008102631,0.00001069618,0.00003923428,0.00002659726,0.001367507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463068,"threshold_uncertainty_score":0.004894435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004333552166901926,"score_gpt":0.2188473210672039,"score_spread":0.2145137689003019,"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."}}