{"id":"W3126444980","doi":"10.1016/j.foodchem.2021.129197","title":"Detection of tartrazine in fake saffron containing products by a sensitive optical nanosensor","year":2021,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Tehran; McGill University","keywords":"Tartrazine; Nanosensor; Molecularly imprinted polymer; Molecular imprinting; Detection limit; Chemistry; Chromatography; Fluorescence; Materials science; Nanotechnology; Organic chemistry; Selectivity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008761962,0.0001601356,0.0003232956,0.00001413691,0.00003180307,0.00001628375,0.0000702095,0.0001778629,0.000227749],"category_scores_gemma":[0.0003116691,0.000176093,0.00008127923,0.0002294951,0.00006087213,0.00004448424,0.00005355749,0.000262717,0.000004441104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006023254,"about_ca_system_score_gemma":0.00007460926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001577297,"about_ca_topic_score_gemma":0.00005255199,"domain_scores_codex":[0.9987978,0.00001294201,0.0003326486,0.0004023334,0.0002126333,0.0002416219],"domain_scores_gemma":[0.9992902,0.00005036076,0.0001171037,0.0003030321,0.0001717516,0.00006759231],"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":[0.00005785085,0.0001928921,0.0001543607,0.000215501,0.00009132298,0.00005080835,0.00008520149,0.000008809773,0.9982777,0.00000544178,0.00005427546,0.0008058778],"study_design_scores_gemma":[0.0005431616,0.00002839315,0.00009116039,0.00007845855,0.00004402525,0.00003704261,0.0005432949,0.00009777649,0.9977028,0.0000140375,0.0006468949,0.0001728896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892414,0.0002255787,0.00003054679,0.0001304627,0.00001727419,0.00002250577,0.00007171137,0.00002755118,0.01023299],"genre_scores_gemma":[0.9980132,0.00001358289,0.0001125049,0.0000209551,0.0001095025,0.00000620984,0.0001396295,0.00001744241,0.001566991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008771798,"threshold_uncertainty_score":0.7180864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007944374825934325,"score_gpt":0.2082168693837447,"score_spread":0.2002724945578103,"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."}}