{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001277252,0.000317995,0.0002488571,0.0002650536,0.0002184005,0.0003897224,0.0003621943,0.0004019724,0.0007346982],"category_scores_gemma":[0.0001867792,0.0001741535,0.0002470748,0.0001595933,0.0002285285,0.000261037,0.0002507322,0.0003381941,0.0002705829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103654,"about_ca_system_score_gemma":0.0002216764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007957708,"about_ca_topic_score_gemma":0.001926802,"domain_scores_codex":[0.9998641,0.0000120619,0.000008188727,0.00003026761,0.00004848514,0.00003682196],"domain_scores_gemma":[0.9999541,0.00001223635,0.000007521916,0.000006541371,0.00001229192,0.000007339113],"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":[0.0001177934,0.00002640449,0.0001505448,0.00005944921,0.000006678113,0.00008474389,0.00003554716,0.0001537228,0.9959404,0.0001848637,0.0001299649,0.003109884],"study_design_scores_gemma":[0.000005859802,0.00003115979,0.0003562073,0.000001298626,0.00000483038,0.00004251649,0.00001590834,0.001041281,0.997848,0.00002738307,0.0006225508,0.000002894062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992196,0.0006194456,0.002335511,0.0001189176,0.00004802624,0.0000161706,0.00006547471,0.00009232331,0.004508248],"genre_scores_gemma":[0.9979328,0.0001223751,0.000564864,0.00001195492,0.00000380611,0.000003648389,0.00004606934,0.00001129755,0.001303272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007957708,"threshold_uncertainty_score":0.002457798,"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."}}