{"id":"W2888045561","doi":"10.1021/acsami.8b10007","title":"Supramolecularly Assembled Ratiometric Fluorescent Sensory Nanosystem for “Traffic Light”-Type Lead Ion or pH Sensing","year":2018,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Fluorescence; Graphene; Nanomaterials; Aptamer; Quantum dot; Materials science; Analyte; Nanotechnology; Naked eye; Stacking; Biosensor; Chemistry; Chromatography; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004298649,0.0003727965,0.0004576326,0.0002071456,0.000213886,0.0002104661,0.0002413431,0.0003346017,0.000007197706],"category_scores_gemma":[0.0001424655,0.0002894856,0.00004921792,0.0003430222,0.00009680056,0.00001020059,0.0001450599,0.00006579197,0.00002839771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004295179,"about_ca_system_score_gemma":0.00006187391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007790264,"about_ca_topic_score_gemma":0.00003970974,"domain_scores_codex":[0.99801,0.00009325779,0.0005419463,0.0007095829,0.0002002085,0.0004450274],"domain_scores_gemma":[0.9986889,0.00003184443,0.0003015298,0.0005219724,0.0003931702,0.00006252471],"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":[0.0009864859,0.00005066285,0.000001388704,0.00007491209,0.000137344,0.000003233782,0.00004031916,0.000004055977,0.9943134,0.00002487188,0.001453635,0.002909662],"study_design_scores_gemma":[0.0004781495,0.0009690704,0.000004500152,0.00006347497,0.00009587176,0.00002692742,0.0001427016,0.00001014949,0.995043,0.00002633906,0.002732901,0.0004069505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963441,0.0001531804,0.00183189,0.00009513387,0.0005895927,0.0006668409,0.00003506404,0.0001463733,0.0001378242],"genre_scores_gemma":[0.9911194,0.00009374148,0.007183899,0.0001962585,0.0007807562,0.00002060501,0.0001519603,0.00006817967,0.0003852361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005352009,"threshold_uncertainty_score":0.9999557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076038924581715,"score_gpt":0.2913691468279974,"score_spread":0.2706087575821803,"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."}}