{"id":"W4408251062","doi":"10.1016/j.mtsust.2025.101099","title":"Innovative multiphase composites of transition metal oxides for long-term stability and high energy density in storage devices","year":2025,"lang":"en","type":"article","venue":"Materials Today Sustainability","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; Higher Education Commision, Pakistan; Information Technology Research Centre; Higher Education Commission, Pakistan","keywords":"Materials science; Composite material; Energy storage; Term (time); Energy density; Stability (learning theory); High energy; Transition metal; Metal; Metallurgy; Engineering physics; Chemistry; Computer science; Thermodynamics; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008973386,0.0002738331,0.0006782645,0.000174163,0.000063845,0.00004793531,0.0001328014,0.0001221143,0.00006331289],"category_scores_gemma":[0.0002252518,0.0002784099,0.00002929549,0.0002691697,0.000209853,0.0003509703,0.00008283451,0.0000513675,1.286026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048519,"about_ca_system_score_gemma":0.00005231188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002816702,"about_ca_topic_score_gemma":0.0001506255,"domain_scores_codex":[0.9981561,0.0002317298,0.0008014973,0.0003840328,0.0001089533,0.0003177125],"domain_scores_gemma":[0.9988123,0.0002864364,0.0001139209,0.0003383562,0.0004160311,0.00003290907],"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":[0.0008952352,0.0003250926,0.0319138,0.006740507,0.0001007516,0.000008565813,0.0007316512,0.001145361,0.9529625,0.003850211,0.000008862626,0.001317502],"study_design_scores_gemma":[0.0009295006,0.00006051917,0.1511945,0.00006426456,0.00003083462,6.750043e-7,0.0002341957,0.0000912047,0.8377154,0.009474634,0.000007995649,0.0001962668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340737,0.00008381578,0.06404714,0.0001021265,0.0003485992,0.000963615,0.0002806465,0.00009370565,0.000006627686],"genre_scores_gemma":[0.9981969,0.000007633748,0.001367252,0.00004571833,0.00002401047,0.0002051201,0.0001260324,0.00002126021,0.000006096455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192807,"threshold_uncertainty_score":0.9999668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008271244380775023,"score_gpt":0.2568246596719275,"score_spread":0.2485534152911525,"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."}}