{"id":"W4394819427","doi":"10.1002/adma.202312685","title":"Mn‐Based Mullites for Environmental and Energy Applications","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Shenzhen Science and Technology Innovation Program; National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Materials science; Catalysis; Mullite; Stacking; Octahedron; Ionic bonding; Ternary operation; Oxygen; Chemical engineering; Hydrothermal circulation; Nanotechnology; Inorganic chemistry; Ceramic; Crystallography; Ion; Crystal structure; Chemistry; Organic chemistry; Computer science","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":[0.00005292229,0.000279976,0.0001283405,0.0003732999,0.0001114713,0.0002947848,0.0002074564,0.0003370842,0.001754497],"category_scores_gemma":[0.00006340962,0.00009344235,0.0001124013,0.0002020414,0.00006678775,0.0002726938,0.000233506,0.0002121117,0.0004855187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032281,"about_ca_system_score_gemma":0.0001195301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002692511,"about_ca_topic_score_gemma":0.001066623,"domain_scores_codex":[0.9999731,0.000002471468,0.000001879115,0.000005414836,0.00001059173,0.000006524946],"domain_scores_gemma":[0.9999809,0.000002242551,0.000004481508,0.000001459687,0.000007235855,0.000003602872],"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":[0.00009600535,0.00006139129,0.0003631281,0.002149805,0.00003566982,0.0002547072,0.00003403833,0.0008230849,0.895449,0.006206359,0.004238976,0.09028789],"study_design_scores_gemma":[0.000035072,0.0004961647,0.00261882,0.0001933239,0.00006401567,0.0005010524,0.00007021104,0.002955642,0.6204684,0.001901094,0.3706757,0.00002056459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5831599,0.332912,0.01998836,0.001694976,0.001362658,0.0001422134,0.001331106,0.000939063,0.05846983],"genre_scores_gemma":[0.9171066,0.05412585,0.01176534,0.0003501545,0.0001377473,0.00007529012,0.0006586562,0.00005110603,0.01572927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001754497,"threshold_uncertainty_score":0.005869389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006384515724106678,"score_gpt":0.2510311054049512,"score_spread":0.2446465896808445,"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."}}