{"id":"W4386692361","doi":"10.1039/d3cc03984f","title":"Rapid and sensitive point-of-care PTS-CRISPR assay for food safety monitoring of aflatoxin B1","year":2023,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Outstanding Youth Science and Technology Talents Program of Sichuan; Chengdu Science and Technology Program; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Aflatoxin; CRISPR; Food safety; Point of care; Food science; Chemistry; Biotechnology; Toxicology; Biology; Medicine; Biochemistry; Gene","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":[0.0001070223,0.00007219274,0.0001567194,0.00004916664,0.0000528873,0.000005729393,0.0001346303,0.00007868571,0.000001181796],"category_scores_gemma":[0.0001352785,0.00007491221,0.00007080044,0.0002208219,0.00009553037,0.00003644295,0.00009554518,0.0001357252,0.000001849995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669397,"about_ca_system_score_gemma":0.000004845751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000209808,"about_ca_topic_score_gemma":0.00000191676,"domain_scores_codex":[0.9995332,0.00001991374,0.0002041149,0.00007837633,0.0000575583,0.0001067892],"domain_scores_gemma":[0.9989735,0.000464574,0.00002901918,0.0003924541,0.00009750492,0.00004293205],"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":[0.00002552621,0.00003259569,0.0002662523,0.0004241405,0.0001341638,1.559257e-7,0.0009360324,0.0001629688,0.9616764,0.002574574,0.0002136041,0.0335536],"study_design_scores_gemma":[0.0002336824,0.00003806506,0.001029079,0.00009534028,0.00003893402,9.514964e-7,0.0009976046,0.01902844,0.9762309,0.0005774963,0.001624263,0.0001052341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852663,0.002578705,0.006262895,0.0008784944,0.0001484383,0.000437259,0.000374162,0.0004031615,0.003650594],"genre_scores_gemma":[0.9953419,0.0006373022,0.003914531,0.000003161932,0.00002614335,0.00001303218,0.00003887721,0.00001548853,0.000009576953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03344836,"threshold_uncertainty_score":0.3054831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941190859555036,"score_gpt":0.2688825423174349,"score_spread":0.2394706337218845,"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."}}