{"id":"W3122621706","doi":"10.3390/bios11020029","title":"A Paper-Based Colorimetric Aptasensor for the Detection of Gentamicin","year":2021,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gentamicin; Aptamer; Milking; Antibiotics; Surface plasmon resonance; Detection limit; Biotechnology; Computer science; Nanotechnology; Biochemical engineering; Chemistry; Chromatography; Biology; Materials science; Nanoparticle; Engineering; Molecular biology; Animal science; Biochemistry","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":[0.0001464051,0.0001153025,0.0001397171,0.00005539064,0.00009767593,0.000009765299,0.0000860029,0.0001189621,0.000002188936],"category_scores_gemma":[0.000303707,0.00008291774,0.0002077317,0.000318702,0.00009317209,0.000001501756,0.00002735738,0.00004552401,9.383283e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294987,"about_ca_system_score_gemma":0.0000477787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001325148,"about_ca_topic_score_gemma":0.00005563804,"domain_scores_codex":[0.9992322,0.00005388054,0.0001980341,0.0002598491,0.0001014377,0.0001545806],"domain_scores_gemma":[0.9991947,0.00007995772,0.0001120516,0.000355999,0.0002270192,0.00003024311],"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":[0.0000966801,0.0000507744,0.00008629631,0.00001265704,0.00006230149,0.000001383174,0.000002573396,0.00002587353,0.9907686,0.00001497021,0.0002476683,0.008630282],"study_design_scores_gemma":[0.0003028719,0.0002026173,0.000572427,0.00000611877,0.00008118916,0.000007645671,0.00007871273,0.0004476699,0.9526295,0.00001403733,0.04554881,0.0001084239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697029,0.001473229,0.02761709,0.0004697474,0.0001613135,0.0003376461,0.0001013078,0.00003896988,0.00009779129],"genre_scores_gemma":[0.9936725,0.0001879948,0.00524615,0.0003461901,0.00013173,0.00001170822,0.00006525197,0.0000156603,0.0003228297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04530114,"threshold_uncertainty_score":0.3381287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423526481680909,"score_gpt":0.2696734105787738,"score_spread":0.2554381457619647,"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."}}