{"id":"W4411419877","doi":"10.1039/d5ta01180a","title":"Coupling the power of spinel nanoparticles: dual-function metal ferrite catalysts for advanced piezo-photocatalytic and electrocatalytic water splitting","year":2025,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministry of Science and ICT, South Korea; Higher Education Commission, Pakistan","keywords":"Catalysis; Photocatalysis; Spinel; Materials science; Renewable energy; Environmentally friendly; Water splitting; Hydrogen production; Nanoparticle; Ferrite (magnet); Metal; Clean energy; Chemical engineering; Nanotechnology; Metallurgy; Environmental science; Composite material; Chemistry; Engineering; Environmental engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001000114,0.0002229733,0.0001489526,0.0001512936,0.0001183899,0.0003705228,0.00033108,0.0003940931,0.001414846],"category_scores_gemma":[0.0002473708,0.0001139378,0.0001286763,0.00009960543,0.0001826891,0.0005250436,0.0002974255,0.0003209518,0.0004484513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777243,"about_ca_system_score_gemma":0.0001783493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004030848,"about_ca_topic_score_gemma":0.001159964,"domain_scores_codex":[0.9999028,0.000007840616,0.000005980564,0.00002245289,0.00004011585,0.00002070864],"domain_scores_gemma":[0.9999455,0.00001222175,0.00001123653,0.000006752802,0.00001685904,0.000007483586],"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":[0.0000916916,0.00003199358,0.000127952,0.0001111217,0.000007930636,0.00004355129,0.00003496602,0.0002635949,0.9854747,0.001673728,0.0007540321,0.01138466],"study_design_scores_gemma":[0.00001173777,0.00005061936,0.0001575169,0.0000038125,0.000009269381,0.00006304622,0.00001615895,0.002988604,0.9930992,0.0002527051,0.003343375,0.000004060909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545632,0.002938351,0.02580423,0.0009756773,0.0002317962,0.00002948262,0.0002231297,0.0005511413,0.01468293],"genre_scores_gemma":[0.994919,0.0002843085,0.001795498,0.00006039266,0.00001642215,0.000006325195,0.00005350503,0.00003271933,0.002831727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001414846,"threshold_uncertainty_score":0.004733086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008275650497124825,"score_gpt":0.2593433782551502,"score_spread":0.2510677277580254,"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."}}