{"id":"W4407095163","doi":"10.1016/j.fbio.2025.106070","title":"Amino-functionalized Fe₃O₄-based covalent organic framework for efficient magnetic solid-phase extraction of three illegally added phosphodiesterase-5 inhibitors in functional food","year":2025,"lang":"en","type":"article","venue":"Food Bioscience","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Covalent bond; Chemistry; Phase (matter); Extraction (chemistry); Combinatorial chemistry; Solid phase extraction; Phosphodiesterase; Amino acid; Organic chemistry; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008411997,0.0003230316,0.000392873,0.0004536718,0.0003539863,0.0001156477,0.0005857084,0.0002437458,0.001218723],"category_scores_gemma":[0.001114081,0.000319451,0.0001646912,0.002086151,0.0004701771,0.0001646236,0.0001555175,0.000272207,0.00004478724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659783,"about_ca_system_score_gemma":0.0009599897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001975572,"about_ca_topic_score_gemma":0.0001876777,"domain_scores_codex":[0.9967455,0.00007785083,0.0008900368,0.0009544818,0.0007664667,0.0005657078],"domain_scores_gemma":[0.9974675,0.0009456014,0.0003775291,0.0007138652,0.0003723618,0.0001231609],"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":[0.0006152773,0.001787544,0.0007392337,0.0001730886,0.00001575117,9.709263e-7,0.0001119485,0.00267369,0.9653695,0.02642764,0.0005176002,0.00156776],"study_design_scores_gemma":[0.004933686,0.002793978,0.01635302,0.0005645331,0.0001154413,0.000008234776,0.0002203473,0.01123804,0.948591,0.01109782,0.003438401,0.0006454864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6160268,0.0003798787,0.379305,0.001012072,0.001740439,0.001180739,0.0001928345,0.0001065021,0.00005571833],"genre_scores_gemma":[0.9791724,0.00000672905,0.01973154,0.0004010154,0.00008883644,0.0004666972,0.0000289677,0.00002554005,0.0000782617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3631456,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502805569033081,"score_gpt":0.307830013033455,"score_spread":0.2828019573431242,"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."}}