{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004995518,0.0001846391,0.0002239943,0.00006891815,0.0001474631,0.0003673532,0.000270823,0.00005814512,0.0009806742],"category_scores_gemma":[0.00005670722,0.0001675508,0.00003238923,0.00007763912,0.0002230893,0.0004232143,0.0001092612,0.00001879474,0.000166843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006946296,"about_ca_system_score_gemma":0.00006047074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004795502,"about_ca_topic_score_gemma":0.000001115516,"domain_scores_codex":[0.9985019,0.00002428209,0.0003428475,0.0005972643,0.00021613,0.0003175503],"domain_scores_gemma":[0.9992734,0.0002355798,0.00007749094,0.0003081573,0.0000225264,0.00008280983],"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":[0.00002048505,0.00001927621,4.16617e-7,0.000219338,0.000002463515,0.000001893718,0.0000393093,0.00002038039,0.9815877,0.01082829,0.0001354713,0.007124971],"study_design_scores_gemma":[0.0001749618,0.00004150386,0.000004847886,0.00003874352,0.00001622742,0.00001475836,0.00003118947,0.0001115016,0.8755866,0.01443837,0.1093526,0.0001886785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8035084,0.005495549,0.1752901,0.0008758638,0.005338438,0.00137181,0.005910966,0.001158529,0.001050332],"genre_scores_gemma":[0.976294,0.0000856523,0.02093433,0.0001828189,0.0002384122,0.001204602,0.000130963,0.00003940618,0.000889867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727856,"threshold_uncertainty_score":0.9999326,"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."}}