{"id":"W4402209514","doi":"10.1016/j.electacta.2024.145002","title":"Nickel oxide/nickel nanohybrids for oxygen and hydrogen evolution in alkaline media","year":2024,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Institut National de la Recherche Scientifique","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; United Nations Educational, Scientific and Cultural Organization","keywords":"Nickel; Nickel oxide; Electrochemistry; Inorganic chemistry; Oxygen evolution; Oxide; Chemistry; Water splitting; Electrode; Electrocatalyst; Nanoclusters; Electrolysis; Dissociation (chemistry); Valence (chemistry); Chemical engineering; Materials science; Catalysis; Physical chemistry; Electrolyte; 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":[0.0001162737,0.0002002787,0.0001927973,0.0001939406,0.0002019195,0.0004168059,0.0003887396,0.0003669943,0.0009629104],"category_scores_gemma":[0.0001317067,0.0001755816,0.0001614617,0.0001487647,0.0001535715,0.0003830067,0.0002632637,0.0003277958,0.0003354856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004195559,"about_ca_system_score_gemma":0.0001127844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035739,"about_ca_topic_score_gemma":0.004103533,"domain_scores_codex":[0.9998782,0.000008340135,0.00000646747,0.00002656482,0.0000486682,0.00003188861],"domain_scores_gemma":[0.9999582,0.00000760763,0.000005819898,0.000004290792,0.00001328654,0.00001088652],"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":[0.00005622809,0.00001925902,0.00005929753,0.00004764294,0.000005919878,0.00002883117,0.00002752546,0.00007067536,0.9970239,0.0002903191,0.0001862989,0.002184061],"study_design_scores_gemma":[0.000006626284,0.00006978526,0.0003729315,0.000002525172,0.00001038615,0.00003485247,0.00004388539,0.001246506,0.9957222,0.00004254227,0.002441216,0.000006532418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840931,0.001679918,0.005810037,0.0001824676,0.0001696251,0.00003912155,0.000198516,0.000285036,0.007542173],"genre_scores_gemma":[0.9942235,0.0003188486,0.001640967,0.00004586134,0.00001191273,0.00002426175,0.00008845302,0.00002034454,0.003625706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035739,"threshold_uncertainty_score":0.003221273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007117503988120029,"score_gpt":0.2231495737470484,"score_spread":0.2160320697589283,"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."}}