{"id":"W4388638836","doi":"10.1007/s13197-023-05889-8","title":"Advances in aptamer-based biosensors for monitoring foodborne pathogens","year":2023,"lang":"en","type":"review","venue":"Journal of Food Science and Technology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Aptamer; Biosensor; Surface plasmon resonance; Oligonucleotide; Nanotechnology; Biomolecule; Computational biology; DNA; Biochemical engineering; Chemistry; Biology; Materials science; Molecular biology; Biochemistry; Nanoparticle; Engineering","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":[0.0009258784,0.0002464898,0.0008474257,0.001526992,0.0001097545,0.00002819161,0.0004883633,0.0004121464,5.282608e-8],"category_scores_gemma":[0.0008447879,0.0001820383,0.0002164019,0.001836477,0.0006270762,0.00001388316,0.0001115115,0.0002744656,2.686883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005525362,"about_ca_system_score_gemma":0.0004920501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.878238e-7,"about_ca_topic_score_gemma":0.000007545778,"domain_scores_codex":[0.9983395,0.00002841907,0.0006285561,0.0004163642,0.0002341943,0.0003529174],"domain_scores_gemma":[0.9984716,0.00004055822,0.0006873906,0.0002782448,0.0004542181,0.00006802117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001154029,0.00003333425,0.00002386874,0.0006338324,0.00003500419,0.00001184732,0.000002047174,0.000001139314,0.01788549,0.00005595056,0.00001564236,0.9812903],"study_design_scores_gemma":[0.0004421472,0.003416943,0.00000326079,0.005076539,0.0003109787,0.0002463385,0.0001621154,0.00001343364,0.13986,0.001112797,0.8488291,0.0005263789],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003903831,0.995216,0.0002679865,0.0001017332,0.0001796547,0.0002630344,0.00002473201,0.00002904334,0.00001395463],"genre_scores_gemma":[0.01955894,0.975515,0.004712177,0.000008951895,0.0001495581,0.00001772775,0.000003729185,0.00002406819,0.000009832168],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9807639,"threshold_uncertainty_score":0.7423307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769973198667362,"score_gpt":0.3621732541412663,"score_spread":0.3244735221545926,"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."}}