{"id":"W633630084","doi":"10.1016/j.ceramint.2015.05.122","title":"Novel magnetic NiFe2O4/multi-walled carbon nanotubes hybrids: Facile synthesis, characterization, and application to the treatment of dyeing wastewater","year":2015,"lang":"en","type":"article","venue":"Ceramics International","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"China Scholarship Council; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Materials science; Carbon nanotube; Photocatalysis; Scanning electron microscope; Aqueous solution; Spinel; Chemical engineering; Adsorption; Hydrothermal circulation; Nuclear chemistry; Ferrite (magnet); Nanotechnology; Composite material; Organic chemistry; Metallurgy; Catalysis; Chemistry","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":[0.0001884922,0.0001316166,0.0001589181,0.00006083466,0.00005983495,0.0000960968,0.0002755882,0.00003732469,0.00009999818],"category_scores_gemma":[0.0001459576,0.00008762874,0.00003048142,0.00004076738,0.0000698103,0.00007266907,0.00007009619,0.00002350914,0.00002309808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008098334,"about_ca_system_score_gemma":0.00003266898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990868,"about_ca_topic_score_gemma":0.0000496257,"domain_scores_codex":[0.9990321,0.00003194845,0.000287469,0.0002497018,0.0002585468,0.0001402523],"domain_scores_gemma":[0.9993564,0.00008069947,0.00008846042,0.0002270491,0.0001761249,0.00007130419],"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":[0.00006123229,0.0001934285,0.0006620612,0.000008950673,0.00001354524,4.55328e-7,0.001380312,0.0002093664,0.9780999,0.0002385342,0.00002493761,0.0191073],"study_design_scores_gemma":[0.0009613548,0.0003876296,0.008112462,0.00006097731,0.00004873235,0.00002545229,0.0005686166,0.09588625,0.8415057,0.0000867616,0.05202609,0.0003299984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917879,0.0001833445,0.004751683,0.002061176,0.0003916912,0.0003360199,0.0001255134,0.00002546342,0.0003372808],"genre_scores_gemma":[0.9959316,0.0001099709,0.002421172,0.0000769301,0.0001438273,0.0001476168,0.00002955863,0.00001322018,0.001126062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365942,"threshold_uncertainty_score":0.3573396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371184678705041,"score_gpt":0.2356156491366204,"score_spread":0.21190380234957,"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."}}