{"id":"W4404850767","doi":"10.1016/j.jcis.2024.11.201","title":"Efficient carbon dioxide conversion by nickel ferrite-based catalysts derived from metallurgical electroplating sludge collaborating with low-temperature plasma","year":2024,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nickel; Electroplating; Metallurgy; Materials science; Carbon dioxide; Catalysis; Ferrite (magnet); Carbon steel; Chemical engineering; Chemistry; Nanotechnology; Composite material; Corrosion","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":[0.0008896659,0.0002666544,0.0004140004,0.0001945436,0.0002842525,0.0005515643,0.0005081396,0.00007908981,0.00005893725],"category_scores_gemma":[0.0001617731,0.000185958,0.00005504645,0.00092688,0.0006201245,0.0004896529,0.0001333939,0.0004054132,0.000008835088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511057,"about_ca_system_score_gemma":0.0007255804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003537241,"about_ca_topic_score_gemma":0.00001079046,"domain_scores_codex":[0.9973068,0.00008249514,0.0005774432,0.0005233539,0.001048063,0.0004618229],"domain_scores_gemma":[0.9985114,0.0002427926,0.0003801433,0.0002009607,0.0004060723,0.000258584],"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":[0.0002382211,0.0000461142,0.00007582401,0.00004424802,0.00001656029,0.00002357724,0.0004228386,0.01195858,0.9870477,0.000008069414,0.0001000637,0.000018161],"study_design_scores_gemma":[0.0007621988,0.0004891126,0.00004045691,0.0006107566,0.00004621211,0.00006848527,0.0008626285,0.04823299,0.9483926,0.00000575228,0.0002645925,0.0002242148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949729,0.002046526,0.001546933,0.0001749795,0.0008501746,0.0001944219,0.00003149481,0.00003498151,0.0001475238],"genre_scores_gemma":[0.9946042,0.00002803856,0.005058926,0.00008171707,0.00006401485,0.000003459057,0.000001928297,0.00002082571,0.0001368773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865515,"threshold_uncertainty_score":0.7583145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004744303678184128,"score_gpt":0.2401416850444332,"score_spread":0.235397381366249,"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."}}