{"id":"W4388543220","doi":"10.1039/d3qi02043f","title":"Oxygen defect engineering on low-crystalline iron(<scp>iii</scp>) oxyhydroxide as a highly efficient electrocatalyst for water oxidation","year":2023,"lang":"en","type":"article","venue":"Inorganic Chemistry Frontiers","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China; Ningxia University","keywords":"Electrocatalyst; Catalysis; Adsorption; Oxygen; Chemical engineering; Chemistry; Oxygen evolution; Materials science; Inorganic chemistry; Electrochemistry; Organic chemistry; Physical chemistry; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000505419,0.0001758103,0.0001157688,0.00009401877,0.0001006205,0.0001866528,0.0001733315,0.0001961441,0.0003615811],"category_scores_gemma":[0.00006952449,0.00009541592,0.00008736509,0.00008225271,0.0001233925,0.0001107674,0.0001244281,0.0002430295,0.0001084741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554021,"about_ca_system_score_gemma":0.0001321669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008146748,"about_ca_topic_score_gemma":0.00234515,"domain_scores_codex":[0.9999627,0.000002795846,0.000002291442,0.000006901379,0.00001356589,0.00001172926],"domain_scores_gemma":[0.9999819,0.000002853351,0.000004161456,0.000001980402,0.000005001525,0.00000414448],"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":[0.00002166417,0.00001983488,0.000107247,0.00003586478,0.000002761068,0.00005037517,0.00001148075,0.0002313442,0.9970835,0.0002368638,0.0001129694,0.002086231],"study_design_scores_gemma":[0.00001126514,0.00006563933,0.0005873284,0.000002444824,0.000005028987,0.00006302325,0.00001338438,0.002509853,0.9954897,0.00005851209,0.001191016,0.000002874277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968879,0.000159491,0.001730974,0.00005936916,0.0000231047,0.000009268786,0.00004703641,0.00004093365,0.001042006],"genre_scores_gemma":[0.9973804,0.0001253461,0.001484921,0.00001470746,0.000003480478,0.000006077778,0.00006202107,0.00001617711,0.0009068183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008146748,"threshold_uncertainty_score":0.001853108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003439098039611799,"score_gpt":0.1827638466978606,"score_spread":0.1793247486582488,"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."}}