{"id":"W2789528868","doi":"10.1016/j.foodchem.2018.03.075","title":"Rapid detection and quantification of 2,4-dichlorophenoxyacetic acid in milk using molecularly imprinted polymers–surface-enhanced Raman spectroscopy","year":2018,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Molecularly imprinted polymer; Molecular imprinting; Surface-enhanced Raman spectroscopy; Polymer; Raman spectroscopy; 2,4-Dichlorophenoxyacetic acid; Chemistry; Chromatography; Materials science; Analytical Chemistry (journal); Organic chemistry; Raman scattering; Selectivity; Biology; Catalysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007638632,0.001004047,0.0005164972,0.0007060674,0.0003253682,0.0006892778,0.001138471,0.0009970246,0.000571362],"category_scores_gemma":[0.0008926564,0.0009277168,0.0004247441,0.0004188723,0.0005343778,0.0006132521,0.0007035492,0.00102968,0.0008563742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005992425,"about_ca_system_score_gemma":0.0006350841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009461057,"about_ca_topic_score_gemma":0.001863575,"domain_scores_codex":[0.9987325,0.0002451761,0.00004747746,0.0002912041,0.0005146275,0.0001690708],"domain_scores_gemma":[0.9996793,0.0001206822,0.00004619739,0.00003826404,0.00008316356,0.00003235045],"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":[0.00005828038,0.00001684655,0.0001133362,0.0000308516,0.000007751717,0.00002137352,0.00001542216,0.00008802652,0.9957985,0.00007886207,0.00007581119,0.003694935],"study_design_scores_gemma":[0.000004502641,0.00005100923,0.0006868653,0.000002598819,0.000006048067,0.00006301918,0.00001127995,0.001641006,0.9966897,0.00003724459,0.0007998424,0.000006866737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.710467,0.01503157,0.265296,0.0007907639,0.0003804908,0.0002718925,0.0008924437,0.002353757,0.004515996],"genre_scores_gemma":[0.7867896,0.005844141,0.1981702,0.0003801512,0.0001056146,0.0003669396,0.0009183806,0.0001599478,0.007265082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001138471,"threshold_uncertainty_score":0.004347801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362740169075978,"score_gpt":0.2764678800768432,"score_spread":0.2528404783860834,"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."}}