{"id":"W2970860850","doi":"10.1002/9781119468455.ch89","title":"Graphene‐Based Biosensors in Agro‐Defense: Food Safety and Animal Health Diagnosis","year":2019,"lang":"en","type":"other","venue":"Handbook of Graphene","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biosensor; Graphene; Nanotechnology; Food safety; Business; Risk analysis (engineering); Medicine; Materials science; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00027983,0.0009684404,0.00056047,0.001616389,0.0004176963,0.001152001,0.0007501574,0.001434625,0.015134],"category_scores_gemma":[0.0002638642,0.000380474,0.0003853629,0.001691775,0.0004556696,0.001533216,0.0009596751,0.001466108,0.01128131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000617738,"about_ca_system_score_gemma":0.0004173271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007146444,"about_ca_topic_score_gemma":0.002041577,"domain_scores_codex":[0.9997066,0.00002356598,0.00001038579,0.00004494348,0.0001911478,0.00002339517],"domain_scores_gemma":[0.9999138,0.00002775685,0.000007721102,0.000007985303,0.00003283376,0.000009918536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007576445,0.0001399194,0.0001603161,0.00331352,0.00002569972,0.0002462189,0.0001631739,0.001147097,0.1300462,0.05121211,0.1448713,0.6685987],"study_design_scores_gemma":[0.000002860317,0.00005738617,0.0002372747,0.0003543432,0.000009529944,0.0003137635,0.00005318124,0.0005191134,0.03511036,0.006578745,0.9567378,0.00002574982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.006571013,0.5935194,0.05123882,0.004877554,0.01130194,0.0002126155,0.001357544,0.001067281,0.3298539],"genre_scores_gemma":[0.0270541,0.4790992,0.03997479,0.002570124,0.002188023,0.000164834,0.001339074,0.0002609928,0.4473489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.015134,"threshold_uncertainty_score":0.0506283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046009848138523,"score_gpt":0.2143159558472492,"score_spread":0.203855857365864,"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."}}