{"id":"W2809555868","doi":"10.1002/adma.201800676","title":"Carbon‐Quantum‐Dots‐Loaded Ruthenium Nanoparticles as an Efficient Electrocatalyst for Hydrogen Production in Alkaline Media","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":635,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Jilin University; National Natural Science Foundation of China","keywords":"Overpotential; Electrocatalyst; Tafel equation; Materials science; Ruthenium; Catalysis; Noble metal; Nanoparticle; Hydrogen production; Electrochemistry; Chemical engineering; Carbon fibers; Inorganic chemistry; Nanotechnology; Metal; Metallurgy; Chemistry; Composite material; Electrode; Composite number; Organic chemistry; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008018413,0.0003339736,0.0004588183,0.0002434972,0.0001462726,0.00003688409,0.0003213321,0.0001537031,0.00009393581],"category_scores_gemma":[0.0006479175,0.0003233657,0.00006137812,0.000445958,0.0001308979,0.0002828477,0.00006521256,0.00007467675,0.0001207526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003325672,"about_ca_system_score_gemma":0.0001140654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009125461,"about_ca_topic_score_gemma":0.001176998,"domain_scores_codex":[0.9972646,0.0001331246,0.0006101273,0.0007727511,0.000434656,0.0007846892],"domain_scores_gemma":[0.9985699,0.00006233042,0.0002367783,0.000656167,0.0003349886,0.0001398222],"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":[0.001102344,0.0001552316,0.000003859332,0.00002881183,0.00003040484,0.000004739407,0.0004612606,0.001493795,0.988966,0.006720648,0.00001123792,0.00102169],"study_design_scores_gemma":[0.00128776,0.0005560765,0.00002385713,0.00004081394,0.00005123115,0.00002194612,0.0001119639,0.000457979,0.9865694,0.008412525,0.0020841,0.0003823392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974786,0.00009547496,0.00002393226,0.0001641914,0.001105437,0.0005435686,0.000007476148,0.0002690152,0.0003123268],"genre_scores_gemma":[0.9978499,0.00001864819,0.00050904,0.00009354721,0.0007358003,0.0002625402,0.0002940383,0.00009729285,0.0001391375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002396568,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009820001004383792,"score_gpt":0.248910430947225,"score_spread":0.2390904299428412,"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."}}