{"id":"W4313584746","doi":"10.3390/s23020562","title":"Aptamer-Based Technologies for Parasite Detection","year":2023,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Aptamer; Nanotechnology; Oligonucleotide; Computational biology; Biosensor; Biology; Computer science; DNA; Materials science; Molecular biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001600466,0.0003576734,0.0007092862,0.0002200516,0.0001013246,0.00002272449,0.0001969394,0.0007330663,1.806333e-7],"category_scores_gemma":[0.0002706484,0.0002836625,0.0006918284,0.0003337914,0.0001172803,8.488013e-7,0.00005901438,0.0001595647,0.00001374625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003121085,"about_ca_system_score_gemma":0.00006015151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003266726,"about_ca_topic_score_gemma":0.00002786487,"domain_scores_codex":[0.9986326,0.00005454275,0.0003424123,0.0005883233,0.00009487345,0.0002872183],"domain_scores_gemma":[0.9990227,0.00005000614,0.0002711259,0.0005473696,0.00008027456,0.00002851408],"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":[0.0000115699,0.00001350891,3.286863e-7,0.001689547,0.0001587477,0.000002858846,5.242408e-7,0.000004947044,0.001715996,0.000003672905,0.0002976877,0.9961006],"study_design_scores_gemma":[0.00006972476,0.0001573774,1.209392e-7,0.000834045,0.0003960851,0.000008935564,0.00001627322,0.00005726295,0.04767338,0.00004545092,0.950382,0.0003593698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001652938,0.9948455,0.002898194,0.00003217481,0.0001457369,0.0008938801,0.000174184,0.0007990291,0.00004602565],"genre_scores_gemma":[0.0004364134,0.9946709,0.003131723,0.00001745241,0.0001643227,0.0001474672,0.0005433158,0.00008964568,0.000798736],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9957412,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365829084184842,"score_gpt":0.3644657196796033,"score_spread":0.3208074288377549,"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."}}