{"id":"W2950362268","doi":"10.1111/jfs.12412","title":"Paper‐based microfluidic aptasensor for food safety","year":2017,"lang":"en","type":"article","venue":"Journal of Food Safety","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Food safety; Microfluidics; Chemistry; Chromatography; Nanotechnology; Biochemical engineering; Food science; Materials science; Biology; Molecular 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":[0.0005298089,0.001145171,0.0004270186,0.0005705016,0.0002163639,0.0004084049,0.0008184739,0.001083384,0.001636864],"category_scores_gemma":[0.0006765363,0.0003679956,0.0004573089,0.0003148219,0.0002520108,0.0006356881,0.0004753841,0.0006007786,0.001083296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005142495,"about_ca_system_score_gemma":0.0003632504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002922545,"about_ca_topic_score_gemma":0.0005271349,"domain_scores_codex":[0.9992232,0.0001141418,0.00006308394,0.0002352986,0.0003115067,0.00005268418],"domain_scores_gemma":[0.9994617,0.000139438,0.0001422761,0.0000420674,0.0001770084,0.0000374334],"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":[0.0000362021,0.00002309476,0.0001838316,0.0001540127,0.00001365798,0.00005106829,0.00001363098,0.0002331547,0.9910486,0.0002163846,0.0002900739,0.007736259],"study_design_scores_gemma":[0.000009046995,0.0001750228,0.0007618177,0.00001236295,0.00002201742,0.0002240827,0.0000131666,0.005141339,0.9873278,0.0001459798,0.006150848,0.00001653911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3484947,0.03232949,0.59992,0.001494776,0.002276684,0.0006284053,0.001219809,0.00416553,0.009470523],"genre_scores_gemma":[0.739066,0.007522941,0.2397303,0.001209344,0.000243655,0.0004133839,0.0005885596,0.00007053911,0.0111552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001636864,"threshold_uncertainty_score":0.005475879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877327714096658,"score_gpt":0.2344744161399356,"score_spread":0.215701138998969,"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."}}