{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004227768,0.000682434,0.0004854662,0.0005875928,0.0002376874,0.0004089247,0.000563072,0.0008643257,0.0003578306],"category_scores_gemma":[0.0004361121,0.0005559127,0.0004179838,0.0003718018,0.0003242519,0.0003629536,0.0003612171,0.0004445954,0.0003521125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726165,"about_ca_system_score_gemma":0.000443582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039046,"about_ca_topic_score_gemma":0.001444174,"domain_scores_codex":[0.9994629,0.00006746469,0.00004848649,0.000167735,0.0001962259,0.00005716232],"domain_scores_gemma":[0.9997826,0.00004503528,0.00004958627,0.00001488476,0.00006512493,0.0000428401],"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":[0.00001785032,0.0000168425,0.0001366084,0.00005031715,0.000005876219,0.0000298526,0.00001660573,0.0001579417,0.9959197,0.00003854022,0.00001792427,0.003592111],"study_design_scores_gemma":[0.000007625903,0.0001650243,0.001212465,0.000004655153,0.00001447632,0.00020222,0.00001310462,0.002574091,0.9946591,0.00003493113,0.001099715,0.00001261254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846265,0.005521477,0.143321,0.0003787754,0.0001177756,0.0003949244,0.0004034867,0.0008412701,0.002756437],"genre_scores_gemma":[0.8091128,0.002795128,0.182576,0.0002358579,0.00003199021,0.0003405819,0.0004698318,0.0000522361,0.004385418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039046,"threshold_uncertainty_score":0.002703547,"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."}}