{"id":"W4404630646","doi":"10.1016/j.jfca.2024.107012","title":"Copper-based nanozyme-linked immunosorbent assay for quantitative detection of fumonisin B1","year":2024,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; Foundation for Innovative Research Groups of Hubei Province of China; National Natural Science Foundation of China","keywords":"Fumonisin B1; Fumonisin; Mycotoxin; Chemistry; Environmental chemistry; Copper; Chromatography; Food science; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007721769,0.0001212044,0.0004798021,0.0006606392,0.0001074356,0.0001048458,0.0001215105,0.00005650839,0.00003872824],"category_scores_gemma":[0.00004696133,0.0001011005,0.0004146506,0.0007103774,0.00008092695,0.0002574148,0.00001692637,0.00006400775,0.000002443192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682874,"about_ca_system_score_gemma":0.00005148535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004863169,"about_ca_topic_score_gemma":0.000007261452,"domain_scores_codex":[0.9986502,0.0001699622,0.0006288936,0.0001770861,0.0002533058,0.0001205692],"domain_scores_gemma":[0.9986421,0.0003611202,0.0004976299,0.0001240515,0.0003192709,0.00005584431],"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":[0.0003570065,0.00007081772,0.00001171105,0.00007988643,0.0005778752,0.000004633009,0.00009694888,0.002849894,0.9936522,0.0004760069,0.000007061348,0.001815945],"study_design_scores_gemma":[0.0004611522,0.00086868,0.0001717629,0.0001207311,0.001793049,0.00001416805,0.0001401426,0.01253584,0.9831334,0.0004761232,0.000172783,0.0001121219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6892742,0.001267389,0.3088158,0.000156811,0.0002466375,0.00007133587,0.0001424622,0.00001607653,0.000009335507],"genre_scores_gemma":[0.9853295,0.00007326139,0.01448771,0.0000190949,0.00004872073,0.000003447901,0.00001714843,0.00001068058,0.00001041017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2960553,"threshold_uncertainty_score":0.4122759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099391373891128,"score_gpt":0.301940254351741,"score_spread":0.2809463406128297,"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."}}