{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002349768,0.0003225021,0.0004007034,0.00003751202,0.00008527061,0.00003663405,0.0002593478,0.0003232446,0.0008661036],"category_scores_gemma":[0.0002343391,0.0003706978,0.00008599186,0.0003543284,0.0003419006,0.00007607501,0.0001233083,0.0003486872,0.000005006365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002662329,"about_ca_system_score_gemma":0.0001130704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606146,"about_ca_topic_score_gemma":0.00000450818,"domain_scores_codex":[0.9979457,0.0000281731,0.0006164422,0.000654598,0.000323821,0.0004313189],"domain_scores_gemma":[0.9987632,0.00005420165,0.0002991442,0.0005630119,0.0001554225,0.000165024],"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":[0.0001561963,0.00007987619,0.000107302,0.0004508003,0.0000719864,0.000002468008,0.000175774,0.000002243833,0.9979098,0.000002524275,6.125496e-7,0.001040458],"study_design_scores_gemma":[0.0007817101,0.00005093127,0.00007435074,0.0001524852,0.00005489287,0.00001841713,0.0003461878,0.00252093,0.9954762,0.0001311154,0.00003901941,0.0003537531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057575,0.0004842211,0.08973842,0.00002838577,0.0000425787,0.00007386694,0.0000140888,0.00006530158,0.003795588],"genre_scores_gemma":[0.9714256,0.00003690917,0.02819775,0.00001075439,0.000103451,0.000008840829,0.00002056665,0.00004474995,0.0001514022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06566803,"threshold_uncertainty_score":0.9998745,"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."}}