{"id":"W2911441355","doi":"10.3390/nano9020277","title":"Nano-Cellulose/MOF Derived Carbon Doped CuO/Fe3O4 Nanocomposite as High Efficient Catalyst for Organic Pollutant Remedy","year":2019,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Doctorate Fellowship Foundation of Nanjing Forestry University; National Natural Science Foundation of China","keywords":"Nanocomposite; Materials science; Catalysis; Calcination; Chemical engineering; X-ray photoelectron spectroscopy; Carbon fibers; Methyl orange; Superparamagnetism; Mesoporous material; Composite number; Composite material; Magnetization; Organic chemistry; Chemistry; Photocatalysis","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006243115,0.0007724647,0.001294323,0.0002215535,0.0002405904,0.0003163939,0.0008355765,0.0005389502,0.005480851],"category_scores_gemma":[0.0002156059,0.0007250892,0.0003411362,0.0003057206,0.0001273661,0.0001700121,0.0003170813,0.000114234,0.001493029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006140536,"about_ca_system_score_gemma":0.000384892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009002925,"about_ca_topic_score_gemma":0.00002094936,"domain_scores_codex":[0.9954549,0.00009111243,0.001477217,0.001245287,0.0005950858,0.001136408],"domain_scores_gemma":[0.9967078,0.0002452147,0.0008137624,0.001682266,0.0002336032,0.0003173662],"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":[0.0005212647,0.0002583511,0.0001083019,0.0004729372,0.0002279436,0.00002913327,0.0002094748,0.00001368349,0.9976802,0.000280467,0.0001115942,0.00008661712],"study_design_scores_gemma":[0.003231551,0.0001458671,0.0001017062,0.0001846688,0.0002737509,0.0001738026,0.00007709605,0.00006043245,0.9883457,0.0001192648,0.00641978,0.0008663966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898788,0.0001417599,0.00001543443,0.0001205681,0.003931912,0.001529359,0.0007661025,0.0005418062,0.003074295],"genre_scores_gemma":[0.9897314,0.00002510064,0.0004532974,0.00007325534,0.0006491874,0.0003209383,0.00100586,0.0002549151,0.007485985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009334547,"threshold_uncertainty_score":0.99952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007688569448506253,"score_gpt":0.2258759101367352,"score_spread":0.2181873406882289,"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."}}