{"id":"W3158401224","doi":"10.1039/d1cy00297j","title":"Ni on graphene oxide: a highly active and stable alkaline oxygen evolution catalyst","year":2021,"lang":"en","type":"article","venue":"Catalysis Science & Technology","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Lakeridge Health","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Graphene; Catalysis; Oxide; Oxygen; Deposition (geology); Oxygen evolution; Materials science; Chemical engineering; Nanoparticle; Inorganic chemistry; Chemistry; Nanotechnology; Electrochemistry; Organic chemistry; Physical chemistry; Metallurgy; Electrode","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004433419,0.0003256879,0.0004628489,0.002231633,0.0006762499,0.00007331371,0.0008523085,0.0003081508,0.00005317132],"category_scores_gemma":[0.0006543095,0.0003207955,0.0001075947,0.009841395,0.001541228,0.0006572891,0.0005560289,0.0003669634,0.000170595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009121862,"about_ca_system_score_gemma":0.0005197928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177331,"about_ca_topic_score_gemma":0.002346541,"domain_scores_codex":[0.9966276,0.00004506777,0.0003697888,0.001330462,0.0007512973,0.0008758356],"domain_scores_gemma":[0.9975123,0.00005372556,0.0002065632,0.001363003,0.0006727665,0.0001916679],"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":[0.00003302394,0.0001155791,0.0004769021,0.000008580793,0.00008194148,0.00005805294,0.00007481042,0.0003851525,0.8828379,0.1096889,0.0001268074,0.00611237],"study_design_scores_gemma":[0.0004771422,0.0001268811,0.0009003929,0.00002465301,0.0001282241,0.0001252282,0.000695793,0.0005455259,0.9796448,0.00834896,0.008607482,0.0003749361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925678,0.0005453867,0.0006799552,0.001591217,0.0001857538,0.0001088488,0.00000665972,0.0004557488,0.003858651],"genre_scores_gemma":[0.9978534,0.0001012164,0.0005832021,0.0001603836,0.00003261501,0.00004835326,0.0001476808,0.00003096481,0.001042163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013399,"threshold_uncertainty_score":0.9999244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006363116813176774,"score_gpt":0.2182543489318643,"score_spread":0.2118912321186875,"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."}}