{"id":"W4415223298","doi":"10.1021/acsami.5c14379","title":"Harnessing Metal Ion-Tannic Acid Complexes to Engineer an Artificial SEI for Ultra-Stable Zinc Metal Batteries","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced battery technologies research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Coating; Metal; Zinc; Anode; Nucleation; Layer (electronics); Metal ions in aqueous solution; Aqueous solution","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003214038,0.0004406987,0.0006820504,0.0003489077,0.0002012143,0.0004377132,0.000737984,0.0001939102,0.0002813503],"category_scores_gemma":[0.00008678104,0.0004278437,0.00003235621,0.0003311917,0.00014324,0.0004303661,0.0002270331,0.0001879767,0.0001165337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322669,"about_ca_system_score_gemma":0.00002377814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092728,"about_ca_topic_score_gemma":0.00002024289,"domain_scores_codex":[0.9978545,0.00002847988,0.000585788,0.0005350867,0.0002186058,0.00077758],"domain_scores_gemma":[0.9990686,0.0001295149,0.0000598705,0.0005891609,0.00008202102,0.00007085909],"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":[0.0001615826,0.00003484104,0.00000161053,0.0002549718,0.0001518946,0.000001855347,0.0002146621,0.005379442,0.9848047,0.00253114,0.0007042199,0.005759099],"study_design_scores_gemma":[0.0002420001,0.00007836615,0.00001442864,0.00005698786,0.00004462026,0.000002384581,0.0007180076,0.00006818848,0.9913552,0.003497807,0.003505487,0.0004165389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653153,0.0001826204,0.03018144,0.0003096058,0.001033421,0.000925319,0.0003551667,0.001036808,0.0006602731],"genre_scores_gemma":[0.990633,0.00001807421,0.007912639,0.000107537,0.0001490039,0.000787297,0.00008834571,0.00009507211,0.0002090991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02531759,"threshold_uncertainty_score":0.9998173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500746188858569,"score_gpt":0.2906301614466026,"score_spread":0.2656226995580169,"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."}}