{"id":"W4393360112","doi":"10.1002/cssc.202400162","title":"Oxygen‐Deficient FeNbO<sub>4‐x</sub> In‐Situ Growth in Honey‐Derived N‐Doping Porous Carbon for Overall Water Splitting","year":2024,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Yangzhou University; Government of Jiangsu Province","keywords":"Catalysis; Water splitting; Oxygen; Density functional theory; Carbon fibers; Oxygen evolution; Electrolyte; Electrochemistry; Hydrogen; Materials science; Inorganic chemistry; Doping; Adsorption; Chemical engineering; Chemistry; Physical chemistry; Electrode; Computational chemistry; Organic 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":[0.0004994911,0.0004142128,0.0004417453,0.0004328919,0.00007714122,0.00007537327,0.0003025093,0.0002927709,0.0000107753],"category_scores_gemma":[0.0001078622,0.000384702,0.0001780097,0.0004669303,0.00004763524,0.0002422996,0.0001899819,0.0004290337,0.00004970106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009590546,"about_ca_system_score_gemma":0.0001127127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008672542,"about_ca_topic_score_gemma":0.0007602195,"domain_scores_codex":[0.9970775,0.0000404794,0.0005826971,0.0008685113,0.00037297,0.001057863],"domain_scores_gemma":[0.9992203,0.0001258521,0.00006778814,0.0003696435,0.0001002967,0.000116079],"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":[0.00008271051,0.00006829237,0.0001646555,0.0003992299,0.00004752759,0.0001453564,0.001174766,0.0003083177,0.9920857,0.002972209,0.0001383016,0.002412919],"study_design_scores_gemma":[0.00108273,0.00006130977,0.0002300673,0.0002999727,0.00002943942,0.0000267794,0.0001134964,0.002945075,0.9911157,0.001789886,0.001799443,0.000506132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906391,0.001110813,0.00005590231,0.0005017091,0.0005277309,0.0003052478,0.00000127488,0.0002941605,0.006564065],"genre_scores_gemma":[0.9985837,0.00008857683,0.0002343169,0.0001752972,0.0002733303,0.0001419364,0.0001672633,0.0001284794,0.0002071111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007944592,"threshold_uncertainty_score":0.9998605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009592072574615232,"score_gpt":0.211869944010805,"score_spread":0.2022778714361898,"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."}}