{"id":"W4400139472","doi":"10.1016/j.foodchem.2024.140234","title":"Dual-template magnetic molecularly imprinted polymers for selective extraction and sensitive detection of aflatoxin B1 and benzo(α)pyrene in environmental water and edible oil","year":2024,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Molecularly imprinted polymer; Aflatoxin; Molecular imprinting; Pyrene; Chemistry; Environmental chemistry; Extraction (chemistry); Benzo(a)pyrene; Polymer; Chromatography; Selectivity; Organic chemistry; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000175828,0.0004220355,0.0002558905,0.0003437324,0.0002040438,0.0002532641,0.0004603153,0.0004495159,0.0010379],"category_scores_gemma":[0.0003208129,0.0003778437,0.0001904963,0.0001595599,0.0002120446,0.0003734863,0.0003378812,0.0005339254,0.0007910471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295889,"about_ca_system_score_gemma":0.0001977027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000459763,"about_ca_topic_score_gemma":0.001311094,"domain_scores_codex":[0.9997736,0.0000240533,0.00001077385,0.00006030598,0.00009039326,0.00004103962],"domain_scores_gemma":[0.9999102,0.00002341132,0.00002253671,0.000007108349,0.00002065494,0.00001610024],"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":[0.00007236795,0.00001714428,0.00004361144,0.00003610719,0.000004067575,0.00003722906,0.00001003024,0.0001058928,0.99483,0.00008307644,0.00009414961,0.00466649],"study_design_scores_gemma":[0.000007237568,0.00005652378,0.0003206886,0.00000152785,0.000005454795,0.00008516939,0.000003927694,0.001747373,0.9965749,0.00001906651,0.001173015,0.00000512302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879525,0.004949003,0.10264,0.0004890478,0.0003089612,0.0001465951,0.000556378,0.001471862,0.009912997],"genre_scores_gemma":[0.9562118,0.001741481,0.03028184,0.0003578396,0.00009983438,0.0001053288,0.0002677949,0.00008370106,0.01085045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010379,"threshold_uncertainty_score":0.00347209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006960015407829053,"score_gpt":0.2290197568468598,"score_spread":0.2220597414390307,"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."}}