{"id":"W3083093693","doi":"10.1016/j.talanta.2020.121618","title":"Highly sensitive magnetic-microparticle-based aptasensor for Cryptosporidium parvum oocyst detection in river water and wastewater: Effect of truncation on aptamer affinity","year":2020,"lang":"en","type":"article","venue":"Talanta","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada; Carleton University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Aptamer; Cryptosporidium parvum; Chemistry; Detection limit; Chromatography; Wastewater; Cryptosporidium; Flow cytometry; Molecular biology; Microbiology; Biology; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001595223,0.0001455452,0.0002479583,0.00007366563,0.0000762752,0.000007243245,0.00003525999,0.0001297289,0.00002845024],"category_scores_gemma":[0.0001219836,0.0001085216,0.00005247815,0.00006653434,0.000146093,0.00003679835,0.0000188295,0.0001183372,0.000111385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002357981,"about_ca_system_score_gemma":0.00001176814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053147,"about_ca_topic_score_gemma":0.0000205687,"domain_scores_codex":[0.999134,0.0001664683,0.0002138601,0.0002297905,0.00002482612,0.0002310654],"domain_scores_gemma":[0.9993588,0.000401792,0.00005466672,0.0001112102,0.00004593887,0.00002761811],"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":[0.001968198,0.00009244434,0.003283894,0.00006451759,0.00002540252,0.000006837998,0.0004883786,0.00008220024,0.992596,0.00004328763,0.0001015923,0.001247194],"study_design_scores_gemma":[0.003213853,0.002165655,0.01084528,0.00002437664,0.00007719216,0.00001405167,0.00005081229,0.0003215056,0.9824844,0.00001290436,0.0006598345,0.0001301353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986253,0.00003420041,0.0001554872,0.0002547539,0.0002173516,0.0004862435,0.0001262449,0.00003204139,0.00006834007],"genre_scores_gemma":[0.9995578,0.000007871792,0.00002639821,0.0001350865,0.00003149586,0.00003768369,0.0001667641,0.00001216449,0.00002474594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011165,"threshold_uncertainty_score":0.4425381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584881508281721,"score_gpt":0.218923341124718,"score_spread":0.2103384596164363,"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."}}