{"id":"W4281620167","doi":"10.1021/acsami.2c06061","title":"Capping Gold Nanoparticles to Achieve a Protein-like Surface for Loop-Mediated Isothermal Amplification Acceleration and Ultrasensitive DNA Detection","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Colloidal gold; Loop-mediated isothermal amplification; Materials science; Detection limit; Polyvinylpyrrolidone; Nanoparticle; DNA; Fluorescence; Reagent; Nanotechnology; Chromatography; Chemistry; Polymer chemistry; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002387813,0.0001763061,0.0001974174,0.00006493608,0.000183067,0.0001477155,0.00007139873,0.00006622828,0.00003459985],"category_scores_gemma":[0.00001460128,0.0001835128,0.00001145006,0.0001456763,0.00002566695,0.0001021409,0.00004539722,0.00008572306,0.00001997556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008787564,"about_ca_system_score_gemma":0.000005769273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003679267,"about_ca_topic_score_gemma":0.00002645634,"domain_scores_codex":[0.9990364,0.00003391754,0.0002859582,0.000283525,0.000121934,0.0002382798],"domain_scores_gemma":[0.9996832,0.00004705219,0.00006406735,0.0001171167,0.00003590409,0.00005268196],"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":[0.0002692793,0.00001897593,7.162161e-7,0.00005782598,0.0000307689,3.039365e-7,0.0003918804,0.004886259,0.9914531,0.00009555911,0.00003911008,0.002756234],"study_design_scores_gemma":[0.000284343,0.0001759996,0.00007422299,0.00001280725,0.0000219858,0.000003709137,0.0006078135,0.001280785,0.9970208,0.0001330996,0.0001685594,0.0002158982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964036,0.00002485667,0.001744169,0.0001169938,0.0002571365,0.001051279,0.0001195077,0.0002408274,0.00004163656],"genre_scores_gemma":[0.9990846,0.00000873511,0.0002407873,0.00007817106,0.00006900826,0.0003855563,0.00003646027,0.00004177493,0.00005492215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005567689,"threshold_uncertainty_score":0.7483434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067672357536546,"score_gpt":0.2020085647976286,"score_spread":0.1913318412222632,"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."}}