{"id":"W3162399707","doi":"10.1016/j.bios.2021.113327","title":"DNA-encoded bimetallic Au-Pt dumbbell nanozyme for high-performance detection and eradication of Escherichia coli O157:H7","year":2021,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Dumbbell; Escherichia coli; Bimetallic strip; DNA; Chemistry; Computational biology; Biology; Genetics; Gene; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003280375,0.0001961665,0.0003458296,0.00008000785,0.0002238463,0.0000554463,0.0001064768,0.0001472142,0.000027334],"category_scores_gemma":[0.00009223756,0.0001794029,0.00004403061,0.0003156413,0.000183317,0.0001982341,0.00006485391,0.00005928625,0.000005558609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037701,"about_ca_system_score_gemma":0.0001536292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004292069,"about_ca_topic_score_gemma":0.00007529913,"domain_scores_codex":[0.9985526,0.0000646384,0.0003837585,0.0004579083,0.0001609471,0.0003801427],"domain_scores_gemma":[0.9991419,0.00008802174,0.000267104,0.0002792308,0.0001518243,0.00007193207],"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":[0.0001083539,0.00005183627,0.00006306005,0.0001245764,0.0000209599,5.718694e-7,0.00006107404,0.00001785171,0.9953709,0.0006390779,0.000006299329,0.003535417],"study_design_scores_gemma":[0.0005718278,0.0004724306,0.001000867,0.000022011,0.0000842552,0.0000146983,0.00003445533,0.001165783,0.9948974,0.0004742255,0.001043727,0.0002183472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964932,0.001071435,0.001612353,0.0001324266,0.0002830545,0.0002787417,0.00006465733,0.00004961797,0.000014547],"genre_scores_gemma":[0.9916393,0.001386275,0.006568992,0.00003917326,0.00009591818,0.00003486229,0.00003474526,0.00002414921,0.0001765943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004956639,"threshold_uncertainty_score":0.7315838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009397235356640988,"score_gpt":0.2233809943253448,"score_spread":0.2139837589687038,"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."}}