{"id":"W1984204062","doi":"10.1016/j.foodchem.2014.12.051","title":"Detection of melamine in milk using molecularly imprinted polymers–surface enhanced Raman spectroscopy","year":2014,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Melamine detection and toxicity","field":"Agricultural and Biological Sciences","cited_by":194,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Melamine; Molecularly imprinted polymer; Molecular imprinting; Surface-enhanced Raman spectroscopy; Raman spectroscopy; Chemistry; Polymer; Nanotechnology; Materials science; Organic chemistry; Selectivity; Raman scattering","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":[0.000106855,0.0001185009,0.0001658345,0.0000065079,0.00004750504,0.00001441595,0.0001235916,0.0001196782,0.0002214965],"category_scores_gemma":[0.00005563473,0.00006183691,0.00007129276,0.0002780308,0.00003588407,0.00003837907,0.00003332555,0.0001377724,0.000002843633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000342994,"about_ca_system_score_gemma":0.000004334622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161341,"about_ca_topic_score_gemma":0.0001406914,"domain_scores_codex":[0.9991968,0.00003410507,0.000210495,0.0002333423,0.0001362507,0.00018905],"domain_scores_gemma":[0.9996907,0.00003388055,0.0001117688,0.00007146761,0.00003432032,0.00005785242],"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":[0.00003044337,0.00004563795,0.00008347343,0.00001479265,0.000006822158,3.444782e-7,0.00001494279,0.000006333144,0.9975124,0.000001714563,2.667412e-7,0.002282821],"study_design_scores_gemma":[0.0002184075,0.0001869942,0.001762345,0.00001785719,0.00000558142,0.000003349491,0.00007111481,0.001046534,0.9964466,0.00004318958,0.00007651841,0.0001214704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971367,0.00004276889,0.001475317,0.00003445905,0.00007040884,0.00006483617,0.000006338504,0.00003662733,0.001132503],"genre_scores_gemma":[0.9995089,0.000003307375,0.0002720989,0.00001749881,0.00009761839,0.00000213944,0.000008092865,0.000001322624,0.00008900282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002372178,"threshold_uncertainty_score":0.2521636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009297091842635706,"score_gpt":0.2072649065130109,"score_spread":0.1979678146703751,"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."}}