{"id":"W2314505058","doi":"10.1021/jp5126975","title":"<i>In Situ</i> Characterization of Highly Dispersed, Ceria-Supported Fe Sites for NO Reduction by CO","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Catalysis; Redox; X-ray absorption spectroscopy; In situ; Absorption (acoustics); Characterization (materials science); Inorganic chemistry; Oxidation state; Phase (matter); Materials science; Chemistry; Selective catalytic reduction; Absorption spectroscopy; Chemical engineering; Nanotechnology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008282608,0.0001101435,0.0002678969,0.00001467145,0.00003618469,0.00003780797,0.0004446307,0.00003994497,0.00004425049],"category_scores_gemma":[0.0003049732,0.00007666048,0.00005531259,0.0001356772,0.0002247605,0.0004285368,0.00004353193,0.00008040707,0.00001511464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007741433,"about_ca_system_score_gemma":0.0001348534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004923957,"about_ca_topic_score_gemma":1.299395e-7,"domain_scores_codex":[0.9988854,0.00003439293,0.0004088331,0.000123501,0.0003767677,0.0001711205],"domain_scores_gemma":[0.9986857,0.00007794757,0.0006198463,0.0001843965,0.0003439312,0.00008819121],"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":[0.0003207221,0.0001403133,0.000002558253,0.00008906435,0.000003377026,7.623574e-7,0.0004211407,0.00002788501,0.9973048,0.000009048564,0.001667672,0.00001265834],"study_design_scores_gemma":[0.0004856442,0.0001026424,0.00001339944,0.00003415168,0.00002699826,0.00003866777,0.0001159461,0.0002032484,0.997977,0.0004332953,0.0004835415,0.00008543904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986908,0.0000131744,0.0003576139,0.0003061353,0.000227158,0.00009449186,0.00007601901,0.000007836149,0.0002268065],"genre_scores_gemma":[0.9990088,0.000005360463,0.000116302,0.00002754732,0.0005878769,0.000003596408,0.00002697107,0.000009746519,0.0002137527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001184131,"threshold_uncertainty_score":0.3126124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421706293962168,"score_gpt":0.2690929586656047,"score_spread":0.254875895725983,"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."}}