{"id":"W4394870309","doi":"10.1039/d4lc00193a","title":"Development of a microfluidic device to enrich and detect zearalenone in food using quantum dot-embedded molecularly imprinted polymers","year":2024,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Canola Producers Commission; Alberta Agriculture and Forestry","keywords":"Molecularly imprinted polymer; Zearalenone; Quantum dot; Microfluidics; Polymer; Nanotechnology; Materials science; Chemistry; Mycotoxin; Food science; Organic chemistry; Composite material","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":[0.0001785511,0.0001646861,0.0001973046,0.00005058473,0.00006235376,0.00005485546,0.0001522368,0.00009293528,0.00005153145],"category_scores_gemma":[0.000023567,0.0000659025,0.00004920043,0.0007615546,0.00001937572,0.0000473224,0.0000828528,0.0001415141,0.00001505481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003740213,"about_ca_system_score_gemma":0.00001962433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009782017,"about_ca_topic_score_gemma":0.000399084,"domain_scores_codex":[0.9989039,0.0000528677,0.0002674484,0.0003408697,0.0001736402,0.0002612168],"domain_scores_gemma":[0.9997209,0.00006986356,0.00003662633,0.00005215823,0.00002424855,0.00009624568],"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":[0.00003595613,0.00004149965,0.0001069677,0.00003040013,0.0000242702,0.000008765606,0.0007735847,3.799519e-7,0.9697299,0.0002056491,0.00001898402,0.02902366],"study_design_scores_gemma":[0.0002338172,0.0006896398,0.02663297,0.0004039558,0.00001705865,0.00002559295,0.0005567271,0.00008404216,0.960218,0.0001327531,0.01062836,0.0003770757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957242,0.003422149,0.00004335536,0.0001833848,0.00007941074,0.0002545624,0.00001650057,0.00004431204,0.0002321275],"genre_scores_gemma":[0.9981239,0.0000577299,0.001471051,0.0002420367,0.00004383526,0.00001431104,0.000008419377,0.000001992827,0.00003676855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02864658,"threshold_uncertainty_score":0.2687426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591491409205951,"score_gpt":0.2468970132500939,"score_spread":0.2209820991580344,"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."}}