{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518713,0.0008032064,0.0003455525,0.0006079244,0.0002204787,0.000381459,0.000828387,0.001139965,0.001004525],"category_scores_gemma":[0.0006486087,0.0003317669,0.0004328957,0.0003566545,0.0002431925,0.0004309055,0.0003355532,0.0005262488,0.0008236121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160742,"about_ca_system_score_gemma":0.0003212093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002756263,"about_ca_topic_score_gemma":0.0006919199,"domain_scores_codex":[0.9993813,0.00008890443,0.00005043554,0.0001814557,0.0002597112,0.00003824826],"domain_scores_gemma":[0.9995994,0.0001208883,0.00009913985,0.00003626438,0.0001038425,0.00004051244],"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":[0.00002172035,0.00001537106,0.00008020056,0.00008686159,0.000004684457,0.00006281947,0.0000159018,0.00007660926,0.9955988,0.00008417067,0.00007609389,0.003876745],"study_design_scores_gemma":[0.000003988697,0.0001997309,0.0004987186,0.000006768018,0.000009327386,0.0004003785,0.00001359855,0.001128924,0.9950628,0.00003347868,0.002631295,0.00001100744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5785499,0.01206706,0.3941252,0.00119102,0.001193426,0.000639508,0.00102209,0.003348649,0.007863165],"genre_scores_gemma":[0.7133541,0.004462714,0.2679446,0.000580452,0.0000910661,0.0003408764,0.0004708567,0.00005804661,0.01269727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001139965,"threshold_uncertainty_score":0.00336045,"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."}}