{"id":"W2967589719","doi":"10.1139/cjm-2019-0153","title":"Development and application of DNA-aptamer-coupled magnetic beads and aptasensors for the detection of <i>Cryptosporidium parvum</i> oocysts in drinking and recreational water resources","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada; University of Waterloo; American Water (Canada)","funders":"Ontario Water Consortium","keywords":"Cryptosporidium parvum; Aptamer; Cryptosporidium; Biotinylation; Biosensor; Monoclonal antibody; Detection limit; Microbiology; Biology; Virology; Chemistry; Chromatography; Molecular biology; Feces; Antibody; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003540024,0.00007834937,0.0002082669,0.0001849681,0.00008568012,0.000004707819,0.00005113491,0.0001316722,0.00001879242],"category_scores_gemma":[0.00005422604,0.00005518122,0.00002202285,0.00004401981,0.0002474748,0.00002430705,0.00001153941,0.0001059741,0.000001641883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003778776,"about_ca_system_score_gemma":0.00009711665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068495,"about_ca_topic_score_gemma":0.007913086,"domain_scores_codex":[0.9993477,0.00005091372,0.0003330044,0.0001005142,0.000008805365,0.0001589882],"domain_scores_gemma":[0.999346,0.000298198,0.0001601143,0.00006291692,0.0001034454,0.00002928993],"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":[0.00008599167,0.00001034634,0.04221615,0.00002011213,0.00005200243,9.164572e-7,0.0009502448,0.00002028913,0.9497101,0.000188755,0.00001264972,0.006732455],"study_design_scores_gemma":[0.003505567,0.0007903317,0.2045896,0.0001532226,0.0001507136,0.001507458,0.001505077,0.00007345452,0.7086785,0.0002128312,0.07857978,0.0002534777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956194,0.003386335,0.0004694531,0.0001030247,0.0001715684,0.000214281,0.00001650063,0.00000103768,0.0000183927],"genre_scores_gemma":[0.9995095,0.000100315,0.0002815736,0.00004054437,0.00001311086,0.000006842714,0.00001758236,0.000004896727,0.00002565894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2410316,"threshold_uncertainty_score":0.4415688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315457911162828,"score_gpt":0.1939317104082336,"score_spread":0.1886162524970707,"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."}}