{"id":"W4400112411","doi":"10.1016/j.trac.2024.117836","title":"DNA integrated nanostructures for optical-based detection of foodborne contaminants","year":2024,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Contamination; DNA; Nanostructure; Nanotechnology; Computational biology; Biology; Materials science; Computer science; Genetics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389226,0.0001863723,0.0002534289,0.000102239,0.00002282735,0.00002017926,0.0001174863,0.0002917972,0.00001125395],"category_scores_gemma":[0.0001459968,0.0001537031,0.0002338631,0.0003935119,0.0001731988,0.000003263067,0.00002011156,0.0001487075,3.274502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003427058,"about_ca_system_score_gemma":0.00004613699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005549618,"about_ca_topic_score_gemma":0.00003151408,"domain_scores_codex":[0.9988976,0.00001269595,0.0003348232,0.0004172462,0.0001144971,0.0002231246],"domain_scores_gemma":[0.9995252,0.00004403655,0.00004824516,0.00023951,0.00007814215,0.00006484439],"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":[0.0001662126,0.00006561445,0.00005450609,0.0001018241,0.00006163945,0.000006190656,0.000002685073,0.00001414419,0.9576702,0.0000358791,0.0001882894,0.04163281],"study_design_scores_gemma":[0.0003224663,0.0001610297,0.0004020119,0.00007460346,0.0000886012,0.000007927577,0.00001973431,0.005748696,0.9899855,0.0001057799,0.002904654,0.0001789809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842889,0.0003929488,0.01342962,0.0001494288,0.00005403916,0.00007673472,0.000120882,0.00007072339,0.001416686],"genre_scores_gemma":[0.996864,0.00001609104,0.001979486,0.00002711632,0.00008425483,0.00001145147,0.0002697744,0.0000205612,0.0007273172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04145382,"threshold_uncertainty_score":0.6267833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209245101385252,"score_gpt":0.3034207493823771,"score_spread":0.2913282983685245,"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."}}