{"id":"W4409252777","doi":"10.1016/j.cej.2025.162448","title":"Modifying V2O5 structure with bio-additive via thermal reconfiguration for enhanced cathode in aqueous zinc ion batteries","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced battery technologies research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cathode; Aqueous solution; Zinc; Thermal; Control reconfiguration; Ion; Materials science; Chemical engineering; Inorganic chemistry; Chemistry; Metallurgy; Organic chemistry; Computer science; Engineering; Physical chemistry; Embedded system; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00007796015,0.0002239788,0.0002433912,0.0002670481,0.00005238047,0.00006732462,0.0002347577,0.0001883055,0.00002212651],"category_scores_gemma":[0.0001668055,0.0002018218,0.00003848404,0.0003004579,0.00004465078,0.0002480149,0.00003424993,0.0007930811,9.917119e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375442,"about_ca_system_score_gemma":0.00002943691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001123454,"about_ca_topic_score_gemma":0.000001896512,"domain_scores_codex":[0.9989464,0.000007853928,0.0002790194,0.000194629,0.0001340687,0.0004380069],"domain_scores_gemma":[0.9995287,0.0001400129,0.00003634341,0.0001594394,0.00008010014,0.00005540078],"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":[0.00003701547,0.000005815102,0.00001477762,0.00008715216,0.00002830989,0.000009993181,0.00008166456,0.1846769,0.7774803,0.00002155694,0.00003656281,0.03751995],"study_design_scores_gemma":[0.0005385167,0.00003289168,0.00009869755,0.0002464854,0.000007054863,0.00005119709,0.0000515822,0.09242801,0.9058488,0.0002765386,0.0002107728,0.000209446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4836269,0.0002041325,0.5155064,0.00008950019,0.0001548314,0.0001551052,0.00001214379,0.0001953427,0.00005561961],"genre_scores_gemma":[0.9691678,0.00004682973,0.03051238,0.00001823328,0.0001119662,0.00006291242,0.00001916094,0.00004438168,0.0000163135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4855409,"threshold_uncertainty_score":0.8230053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967384028628264,"score_gpt":0.2340766505821114,"score_spread":0.2271092665534831,"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."}}