{"id":"W3212423908","doi":"10.1039/d1an01577j","title":"High-sensitivity small-molecule detection of microcystin-LR cyano-toxin using a terahertz-aptamer biosensor","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Aptamer; Surface plasmon resonance; Biosensor; Terahertz radiation; Chemistry; Analytical Chemistry (journal); Layer (electronics); Substrate (aquarium); Detection limit; Molecule; Fluorescence; Silicon; Materials science; Nanoparticle; Nanotechnology; Chromatography; Optoelectronics; Organic chemistry; Optics","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":[0.0002466118,0.000283271,0.0002914901,0.0001958014,0.0001432473,0.0002646357,0.0003158757,0.0005141502,0.0004330319],"category_scores_gemma":[0.0003104293,0.0001722516,0.00016133,0.00013048,0.0002640019,0.0002576672,0.0002429128,0.0004746131,0.0002386627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686874,"about_ca_system_score_gemma":0.0002209714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008242382,"about_ca_topic_score_gemma":0.0008859792,"domain_scores_codex":[0.9997448,0.00003069202,0.00001553773,0.00005677066,0.0001151189,0.00003713763],"domain_scores_gemma":[0.999859,0.00004636062,0.00003433473,0.00001126132,0.00002819599,0.00002084603],"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":[0.000007047611,0.000003131524,0.00006296617,0.000008220866,8.89725e-7,0.00002050965,0.000006992078,0.00004542876,0.9993972,0.00004550646,0.000008778215,0.0003933797],"study_design_scores_gemma":[0.000002692629,0.00004013561,0.0003288674,9.03419e-7,0.000002202403,0.0001347021,0.000005413292,0.001584903,0.9976459,0.00001370954,0.0002378019,0.000002660079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536498,0.001307463,0.0426457,0.0003757648,0.00005284404,0.00005627504,0.0001299685,0.0004112044,0.001371016],"genre_scores_gemma":[0.9659752,0.0005474975,0.03177639,0.00008192153,0.00001536752,0.00003070938,0.0000716935,0.00001377903,0.001487531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008242382,"threshold_uncertainty_score":0.002674997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347346676845448,"score_gpt":0.2531411830713159,"score_spread":0.2396677163028614,"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."}}