{"id":"W4404147995","doi":"10.1016/j.ensm.2024.103890","title":"Central metal coordination environment optimization enhances Na diffusion and structural stability in Prussian blue analogues","year":2024,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Jiangsu Provincial Department of Education; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Prussian blue; Materials science; Metal; Diffusion; Inorganic chemistry; Chemical engineering; Nanotechnology; Physical chemistry; Metallurgy; Thermodynamics; Electrode; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002567184,0.0001408808,0.0001805856,0.00007185771,0.000113916,0.000221002,0.00008717706,0.00005963942,0.00142811],"category_scores_gemma":[0.00001602236,0.0001187929,0.00002141398,0.00009432903,0.00009301434,0.0002759616,0.00007374537,0.00003415847,0.000004461848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009192385,"about_ca_system_score_gemma":0.00002232065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006559489,"about_ca_topic_score_gemma":0.00006585593,"domain_scores_codex":[0.9988444,0.0001380267,0.0002843899,0.0003869919,0.0001350981,0.0002111315],"domain_scores_gemma":[0.9996744,0.00003792852,0.00007126398,0.0001542715,0.000007893556,0.00005418813],"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":[0.00001286721,0.00001800633,0.00003867039,0.00002577079,0.000004108483,0.000003283302,0.0005379558,0.00254473,0.9942811,0.001472622,0.000007227808,0.001053667],"study_design_scores_gemma":[0.000117597,0.00003385984,0.001578434,0.00002694108,0.00001559348,0.000004564792,0.0001593256,0.005902299,0.9913833,0.0002709123,0.0003465134,0.0001606173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903751,0.00045037,0.007983912,0.0001847114,0.0006952769,0.0001173676,0.0000929391,0.00007286076,0.00002744408],"genre_scores_gemma":[0.9987307,0.00005479747,0.0007952262,0.000014674,0.0001201646,0.00004934262,0.0001181553,0.00001361688,0.0001033384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008355566,"threshold_uncertainty_score":0.9994847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113312943782506,"score_gpt":0.2267717601501944,"score_spread":0.2156386307123693,"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."}}