{"id":"W3003073365","doi":"10.1038/s41467-020-14289-x","title":"Regenerable and stable sp2 carbon-conjugated covalent organic frameworks for selective detection and extraction of uranium","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":670,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Uranium; Detection limit; Covalent bond; Conjugated system; Extraction (chemistry); Fluorescence; Adsorption; Covalent organic framework; Triazine; Chemistry; Combinatorial chemistry; Chromatography; Materials science; Organic chemistry; Polymer","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":[0.00009431599,0.0003663076,0.0001067736,0.0001875539,0.0001090381,0.0001849287,0.0002507771,0.0003823841,0.0007327271],"category_scores_gemma":[0.0001703831,0.0001080393,0.0001347263,0.0001443584,0.0001959841,0.0002144503,0.0002103992,0.0001962021,0.0001765976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223309,"about_ca_system_score_gemma":0.0001459108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007175954,"about_ca_topic_score_gemma":0.001760503,"domain_scores_codex":[0.9999157,0.000008862237,0.000002643023,0.00001809297,0.00002773399,0.00002696837],"domain_scores_gemma":[0.9999455,0.000009939626,0.00001707823,0.00000423476,0.000009493814,0.00001374024],"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":[0.00002549335,0.00001174919,0.00008946603,0.00005189153,0.000005592949,0.000050908,0.000008009499,0.0004036917,0.995636,0.0002551301,0.00008215645,0.003379939],"study_design_scores_gemma":[0.000005143423,0.0001102951,0.0006268061,0.000002444609,0.000006894511,0.00009399065,0.000008450152,0.002471638,0.9943454,0.00003799634,0.00228203,0.000009006368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773784,0.001738038,0.01705411,0.00009243654,0.0000591705,0.00003243711,0.0001721629,0.0002527676,0.003220495],"genre_scores_gemma":[0.9913707,0.0004421765,0.00668137,0.00003556251,0.00001043379,0.00001629509,0.00007683846,0.00001140217,0.001355288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007327271,"threshold_uncertainty_score":0.002451181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642182863932871,"score_gpt":0.2782608963400217,"score_spread":0.261839067700693,"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."}}