{"id":"W3102271149","doi":"10.1021/acs.analchem.0c03562","title":"Graphene Oxide-Supported Lanthanide Metal–Organic Frameworks with Boosted Stabilities and Detection Sensitivities","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministry of Education of the People's Republic of China; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Chemistry; Lanthanide; Graphene; Metal-organic framework; Oxide; Metal; Inorganic chemistry; Nanotechnology; Organic chemistry; Ion","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":[],"category_scores_codex":[0.0001098754,0.0003405134,0.0004834704,0.00002006538,0.0001545025,0.0001047181,0.0001692326,0.0005076914,0.003827188],"category_scores_gemma":[0.0004647581,0.0002985008,0.0001256596,0.0003508419,0.0003300846,0.0001086166,0.00009593662,0.0008938994,0.00002174044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003973779,"about_ca_system_score_gemma":0.00005605855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000260791,"about_ca_topic_score_gemma":0.00001069899,"domain_scores_codex":[0.9982298,0.00002066356,0.0003963769,0.0006345512,0.0003336996,0.0003849103],"domain_scores_gemma":[0.9985244,0.0003907366,0.0001359755,0.0004663715,0.0001056314,0.0003768447],"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":[0.0000744132,0.00007482125,0.0008401886,0.0003421067,0.0002952772,0.00002552947,0.0001540998,0.000005344053,0.9969043,0.0002586706,0.00009928123,0.0009259562],"study_design_scores_gemma":[0.0002918032,0.00002140537,0.0002502953,0.00007670291,0.0003789065,0.00006137791,0.002110326,0.003794334,0.9908254,0.0005018085,0.001266577,0.0004210395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879907,0.0002459706,0.005102463,0.00140972,0.000008283851,0.00007612372,0.00005180453,0.0002636103,0.004851365],"genre_scores_gemma":[0.9981948,0.00007841569,0.0004927209,0.0003944889,0.0001706497,0.00002459281,0.00005024613,0.00005707704,0.0005369924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020416,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289886394938356,"score_gpt":0.2157185501588287,"score_spread":0.2028196862094451,"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."}}