{"id":"W2795610484","doi":"10.1021/acsnano.7b08010","title":"Sentinel Wraps: Real-Time Monitoring of Food Contamination by Printing DNAzyme Probes on Food Packaging","year":2018,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Food packaging; Contamination; Active packaging; Deoxyribozyme; Biosensor; Nanotechnology; Shelf life; Materials science; Biochemical engineering; Chemistry; Food science; Chromatography; Detection limit; 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":[0.000362479,0.0005221487,0.0002486759,0.0002830496,0.0001238788,0.0003668463,0.0004278327,0.0005845702,0.0009352272],"category_scores_gemma":[0.0005087946,0.0003307346,0.0002751073,0.0001774358,0.0002367829,0.0005093638,0.0004283342,0.0003145741,0.0004209176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611636,"about_ca_system_score_gemma":0.0001524529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317153,"about_ca_topic_score_gemma":0.0003045706,"domain_scores_codex":[0.9997044,0.00004368584,0.00001659257,0.0001075205,0.0001012776,0.00002652734],"domain_scores_gemma":[0.9996778,0.00007179699,0.0001181465,0.00004412574,0.00005181592,0.00003637537],"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":[0.00006078841,0.00002283427,0.0004861009,0.00005452453,0.00000545321,0.00004995028,0.00003442652,0.0001123709,0.9948335,0.00006638796,0.0001384138,0.004135246],"study_design_scores_gemma":[0.00000411557,0.0002005704,0.0009464324,0.000004738692,0.00000981495,0.000103646,0.00002846243,0.001469446,0.9962525,0.00003366961,0.0009400828,0.00000652892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267038,0.001354296,0.06700844,0.0002856431,0.0002421693,0.0000763366,0.0004629878,0.00113098,0.002735306],"genre_scores_gemma":[0.8883678,0.001410798,0.1040864,0.0002290771,0.00005670693,0.00009304386,0.0004750652,0.0001188044,0.005162256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009352272,"threshold_uncertainty_score":0.003128648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00918426778036199,"score_gpt":0.2595829151877767,"score_spread":0.2503986474074147,"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."}}