{"id":"W2128908592","doi":"10.1371/journal.pone.0137455","title":"Detection of Cryptosporidium parvum Oocysts on Fresh Produce Using DNA Aptamers","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aptamer; Cryptosporidium parvum; Systematic evolution of ligands by exponential enrichment; Cryptosporidium; Biology; SELEX Aptamer Technique; Primer (cosmetics); DNA; Detection limit; Microbiology; Chromatography; Chemistry; Molecular biology; Gene; RNA; Biochemistry","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":[0.0002773344,0.0005484837,0.0003208564,0.0005044807,0.0001351866,0.0002800961,0.0003006625,0.0005892361,0.0006558807],"category_scores_gemma":[0.0003388431,0.0002431338,0.0002309916,0.0003145261,0.0002110792,0.0002453253,0.0002439847,0.0003416157,0.0003229038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214709,"about_ca_system_score_gemma":0.00009411071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002599293,"about_ca_topic_score_gemma":0.0006771797,"domain_scores_codex":[0.9995913,0.00004058698,0.00001950976,0.0001733029,0.000138463,0.00003677869],"domain_scores_gemma":[0.9997981,0.0000719349,0.00004940625,0.00001278708,0.00004639101,0.0000213047],"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":[0.00001109001,0.00001130078,0.0002993065,0.0000318289,0.000002675048,0.00001853997,0.00001292605,0.00006185553,0.997768,0.00000777469,0.00001064707,0.001764062],"study_design_scores_gemma":[0.000004196262,0.0002464697,0.005042313,0.000006010037,0.00001435517,0.0001413162,0.00002843836,0.0015186,0.9921375,0.00002253325,0.0008299165,0.000008420365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963738,0.00107984,0.0323724,0.0001203018,0.00004284889,0.0001344208,0.0004532325,0.0002541854,0.001804719],"genre_scores_gemma":[0.9307088,0.001097775,0.06229177,0.0002088661,0.00002104637,0.0001379756,0.0007077829,0.00003112291,0.004794822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006558807,"threshold_uncertainty_score":0.002194166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07206177539350465,"score_gpt":0.254105460319015,"score_spread":0.1820436849255104,"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."}}