{"id":"W2888679949","doi":"10.3390/s18082726","title":"Direct Detection of Toxic Contaminants in Minimally Processed Food Products Using Dendritic Surface-Enhanced Raman Scattering Substrates","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Melamine detection and toxicity","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detection limit; Melamine; Contamination; Raman scattering; Nanotechnology; Chemistry; Materials science; Chromatography; Raman spectroscopy; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834167,0.0001256825,0.0001979727,0.00002518527,0.0001048666,0.00003070374,0.00009195581,0.00007583977,0.0000348696],"category_scores_gemma":[0.0001294526,0.00006188361,0.00003564825,0.0005516392,0.0000980477,0.0001108816,0.00001909133,0.00007167496,0.000008482008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002932398,"about_ca_system_score_gemma":0.000009208128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002025684,"about_ca_topic_score_gemma":0.005017808,"domain_scores_codex":[0.9989846,0.00008024354,0.0002580707,0.0002950632,0.0001373951,0.0002446097],"domain_scores_gemma":[0.9995871,0.00006018409,0.0001166598,0.00005123185,0.0001411802,0.00004370086],"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":[0.00005032004,0.00005029085,0.002135868,0.00002992801,0.00000560249,0.00000133442,0.0001460352,0.00002406718,0.9946667,7.100331e-7,3.818726e-7,0.002888761],"study_design_scores_gemma":[0.0001425644,0.000457315,0.1244282,0.00005514256,0.000005338851,0.000006179177,0.0004004538,0.0005731003,0.8737865,0.000007989926,0.00001667589,0.0001204882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992504,0.00003035098,0.00000209713,0.00004231254,0.0001768512,0.0002248713,0.000006071282,0.00004606395,0.0002209685],"genre_scores_gemma":[0.9997152,0.000004809265,0.00005834684,0.00001222989,0.0001363934,0.000002856121,0.00000217024,0.00000169361,0.00006630369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222924,"threshold_uncertainty_score":0.2800055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799407692152693,"score_gpt":0.2362954884300872,"score_spread":0.2083014115085603,"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."}}