{"id":"W2801893730","doi":"10.1039/c8ay00584b","title":"Dual-functional imprinted magnetic nanoprobes for fluorescence detection of <i>N</i>-nitrosodiphenylamine","year":2018,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; U.S. Environmental Protection Agency","keywords":"Fluorescence; Dual (grammatical number); Magnetic separation; Nanotechnology; Magnetic nanoparticles; Chemistry; Molecularly imprinted polymer; Materials science; Physics; Nanoparticle; Selectivity; Philosophy; Biochemistry; Optics; Catalysis","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":[0.0003685847,0.0007974849,0.0002976303,0.0003670975,0.0002124704,0.0002147153,0.000749053,0.0006820828,0.001381785],"category_scores_gemma":[0.0004826808,0.0004554908,0.0002361759,0.0001239511,0.0003207313,0.0003919351,0.0002688945,0.0006604157,0.0007362562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084827,"about_ca_system_score_gemma":0.0002673811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004402284,"about_ca_topic_score_gemma":0.00166058,"domain_scores_codex":[0.999727,0.00003699056,0.00001777786,0.00008318353,0.00009696357,0.00003809546],"domain_scores_gemma":[0.9997242,0.00008558321,0.00006191217,0.00002101992,0.00005955546,0.00004763541],"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":[0.00002654267,0.000008630886,0.00002252,0.00003902752,0.000003408999,0.00002603818,0.000006806341,0.00006160506,0.9980475,0.000119707,0.00007254462,0.001565688],"study_design_scores_gemma":[0.000004374712,0.00004194338,0.0001676579,0.000002171349,0.000004082937,0.00008280914,0.000003528544,0.001113186,0.9976562,0.0000224865,0.0008964188,0.000005085889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5876095,0.006036143,0.3930694,0.0006062956,0.0003521867,0.0004116396,0.001197405,0.00285878,0.007858689],"genre_scores_gemma":[0.6982146,0.002835447,0.2847254,0.0005223219,0.00006930578,0.0004959676,0.0009369415,0.0001539723,0.01204602],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001381785,"threshold_uncertainty_score":0.004622519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03810548312458354,"score_gpt":0.3460208723180722,"score_spread":0.3079153891934887,"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."}}