{"id":"W2998979040","doi":"10.1002/adma.201906806","title":"Hydration‐Effect‐Promoting Ni–Fe Oxyhydroxide Catalysts for Neutral Water Oxidation","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research; Ministry of Science and Technology","keywords":"Overpotential; Catalysis; Oxygen evolution; Electrolyte; Dissociation (chemistry); Electrocatalyst; Inorganic chemistry; Adsorption; Oxide; Materials science; Water splitting; Metal; Chemical engineering; Electrochemistry; Chemistry; Physical chemistry; Electrode; Photocatalysis; 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":[0.00007285371,0.0001511963,0.0001369547,0.00007820524,0.0001126243,0.0001532586,0.000209082,0.0001407664,0.0005379925],"category_scores_gemma":[0.0001007183,0.0001148103,0.00009883989,0.00004287579,0.000138677,0.0001538514,0.0001331042,0.0001966992,0.00008127079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308581,"about_ca_system_score_gemma":0.0001700641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238331,"about_ca_topic_score_gemma":0.002284422,"domain_scores_codex":[0.9999799,0.000002877897,0.000001029066,0.000002267923,0.000008417666,0.000005474241],"domain_scores_gemma":[0.9999852,0.000004260814,0.000003013031,0.000001266881,0.000002746788,0.000003543101],"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":[0.0002578129,0.0001901621,0.001651705,0.0002367962,0.00003572218,0.000165041,0.00005939874,0.03974965,0.9424262,0.005819775,0.0004331771,0.008974567],"study_design_scores_gemma":[0.0001756405,0.0005175311,0.004707505,0.0000155284,0.00003730252,0.00009147755,0.0001133686,0.3280698,0.6584805,0.002362873,0.00540526,0.00002315958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946044,0.0002545684,0.002835571,0.00007167515,0.00002034432,0.00001593862,0.00002891754,0.00004672245,0.002121831],"genre_scores_gemma":[0.9987423,0.00009260139,0.0008892451,0.000004854146,0.000001468991,0.000005145544,0.00001962305,0.000002996467,0.0002418495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001238331,"threshold_uncertainty_score":0.002462268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085518878402695,"score_gpt":0.2289676712048438,"score_spread":0.2204157833645743,"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."}}