{"id":"W4309703245","doi":"10.1002/ange.202216062","title":"Boosting Benzene Oxidation with a Spin‐State‐Controlled Nuclearity Effect on Iron Sub‐Nanocatalysts","year":2022,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Shanxi Province; National Natural Science Foundation of China","keywords":"Nanomaterial-based catalyst; Catalysis; Trimer; Chemistry; Tetramer; Benzene; Spin states; Nanorod; Oxidation state; Dimer; Crystallography; Nanotechnology; Photochemistry; Inorganic chemistry; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006802971,0.0002200807,0.000159295,0.0001254277,0.00008910863,0.0001844666,0.0001903057,0.0001795454,0.000691084],"category_scores_gemma":[0.0001670228,0.0001139257,0.0001111905,0.00006935286,0.0001763929,0.0001575964,0.0001867589,0.0002081187,0.0001560067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085271,"about_ca_system_score_gemma":0.00009097486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007809816,"about_ca_topic_score_gemma":0.001908801,"domain_scores_codex":[0.999922,0.000005863073,0.000004521257,0.00002035867,0.00002694219,0.0000202485],"domain_scores_gemma":[0.9999285,0.00001368839,0.00001660859,0.000008941736,0.00001702991,0.00001533147],"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":[0.00003368498,0.000007978392,0.0001153233,0.00002239102,0.000003178526,0.00001421659,0.000008279941,0.0001272115,0.9984427,0.0001124503,0.00003908324,0.001073402],"study_design_scores_gemma":[0.000006779327,0.00004533216,0.0007340984,0.000001706846,0.000005184128,0.00002016329,0.000006378946,0.002126297,0.9963936,0.00002134851,0.0006362363,0.000002773707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948056,0.0003423653,0.002945011,0.00004669447,0.00001868293,0.000008899295,0.00004727654,0.00008568948,0.001699737],"genre_scores_gemma":[0.9980532,0.00009887724,0.00134637,0.00001181757,0.000002864911,0.000004564321,0.00002685293,0.00001029315,0.000445245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007809816,"threshold_uncertainty_score":0.002311885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008141416331626395,"score_gpt":0.2333176167612297,"score_spread":0.2251762004296033,"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."}}