{"id":"W2506871596","doi":"10.1039/c6qi00091f","title":"A strategically designed porous magnetic N-doped Fe/Fe<sub>3</sub>C@C matrix and its highly efficient uranium(<scp>vi</scp>) remediation","year":2016,"lang":"en","type":"article","venue":"Inorganic Chemistry Frontiers","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Environmental remediation; Uranium; Doping; Porosity; Materials science; Matrix (chemical analysis); Metal; Nuclear chemistry; Chemical engineering; Metallurgy; Chemistry; Contamination; Composite material; Optoelectronics","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"],"consensus_categories":[],"category_scores_codex":[0.0003207536,0.0006958462,0.0005807519,0.00004518308,0.0004983621,0.0003310821,0.0005575089,0.0005778488,0.0002310366],"category_scores_gemma":[0.0004698163,0.0006198811,0.0001471181,0.0003363202,0.0002277622,0.0002766824,0.0001346474,0.0004516703,0.00004569606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005264976,"about_ca_system_score_gemma":0.0003512994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000457476,"about_ca_topic_score_gemma":0.00000108491,"domain_scores_codex":[0.9963766,0.00004453159,0.0007802809,0.001157788,0.0006836966,0.0009571409],"domain_scores_gemma":[0.9978644,0.0002746497,0.0005087438,0.0005793599,0.0002512988,0.0005215699],"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":[0.00009595785,0.0001446766,0.0003817691,0.0006041658,0.0001174502,0.00006423626,0.0002515567,0.00001040518,0.9922233,0.000007342819,0.002450292,0.003648845],"study_design_scores_gemma":[0.002540775,0.00004237522,0.00009518221,0.0001929979,0.0001810593,0.000140134,0.0008225847,0.0003709794,0.9938909,0.0001534557,0.001120959,0.0004485472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879172,0.004947018,0.001192052,0.0002542917,0.0001977515,0.0002017655,0.0000979028,0.0003178788,0.004874127],"genre_scores_gemma":[0.9938057,0.0004900146,0.0003762347,0.00004243779,0.0005939614,0.00005235851,0.00009469174,0.0001086259,0.004435949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005888514,"threshold_uncertainty_score":0.9996253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007087505472250996,"score_gpt":0.2045863976885665,"score_spread":0.1974988922163156,"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."}}