{"id":"W2475080029","doi":"10.1021/acs.analchem.5b03085","title":"Microfluidic Integration of a Cloth-Based Hybridization Array System (CHAS) for Rapid, Colorimetric Detection of Enterohemorrhagic <i>Escherichia coli</i> (EHEC) Using an Articulated, Centrifugal Platform","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Health Canada; Canadian Food Inspection Agency; National Research Council Canada","funders":"Government of Canada","keywords":"Microfluidics; Chip; Multiplex; Microfluidic chip; Chemistry; Nanotechnology; Escherichia coli; DNA; Centrifugal force; Centrifuge; Computer science; Gene; Materials science; Rotational speed; Physics; Bioinformatics; Biology","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":[0.000434183,0.0005081444,0.0003575447,0.0003460206,0.0003251663,0.0003898194,0.0005432579,0.0003993381,0.001006711],"category_scores_gemma":[0.0004666941,0.0004863456,0.0005289722,0.0001622448,0.0003546831,0.0002796196,0.0006432508,0.0004206859,0.0006186409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072285,"about_ca_system_score_gemma":0.0008754356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007228161,"about_ca_topic_score_gemma":0.001519581,"domain_scores_codex":[0.9996285,0.00005130211,0.00003684757,0.0001024656,0.0001340166,0.00004678636],"domain_scores_gemma":[0.9997272,0.00006615465,0.00006224401,0.0000343533,0.00006268261,0.00004739742],"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":[0.00002017317,0.00001507146,0.0001980987,0.00004398916,0.000005042408,0.00003938278,0.00001964707,0.0003749536,0.9945498,0.0002273375,0.0001367473,0.004369698],"study_design_scores_gemma":[0.00001446901,0.00032544,0.001781075,0.000008819353,0.00001800619,0.0001815126,0.00001414881,0.00708279,0.9852659,0.00005177123,0.005227572,0.00002866734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712102,0.001423227,0.316053,0.000768945,0.0005860163,0.0005704217,0.0006720014,0.003196076,0.005520112],"genre_scores_gemma":[0.6045013,0.0009256258,0.3864318,0.0003681476,0.0001148187,0.0004425846,0.0005503518,0.00008104865,0.006584356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006711,"threshold_uncertainty_score":0.003680289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028472152167692,"score_gpt":0.2345643254598788,"score_spread":0.2042796039382019,"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."}}