{"id":"W4409911744","doi":"10.1016/j.ymeth.2025.04.018","title":"CRISPR revolution: Unleashing precision pathogen detection to safeguard public health and food safety","year":2025,"lang":"en","type":"review","venue":"Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations","funders":"","keywords":"Safeguard; CRISPR; Food safety; Pathogen; Public health; Foodborne pathogen; Virology; Business; Biology; Environmental health; Internet privacy; Microbiology; Medicine; Computer science; Gene; Genetics; International trade","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":[0.001302796,0.001227489,0.001336287,0.002015651,0.0003050611,0.001691163,0.001393459,0.002115859,0.006189795],"category_scores_gemma":[0.001579413,0.0003697939,0.0005402319,0.001551894,0.001234876,0.002036388,0.0012184,0.003677082,0.003452459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173265,"about_ca_system_score_gemma":0.0018444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535657,"about_ca_topic_score_gemma":0.00321006,"domain_scores_codex":[0.9995248,0.0000766615,0.00002648285,0.00006497769,0.0002458374,0.00006127558],"domain_scores_gemma":[0.9993979,0.0003077566,0.00005530505,0.00002428323,0.000133097,0.0000817418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007172167,0.00006272509,0.00007501958,0.008220973,0.00006963293,0.0001049968,0.00003340935,0.0004472975,0.004688022,0.01525675,0.1284405,0.8425289],"study_design_scores_gemma":[0.00001328992,0.00003426455,0.0001443368,0.0009360433,0.00003559336,0.0002185448,0.00001896315,0.00009638855,0.0007810157,0.00366473,0.9940417,0.00001512128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001002092,0.9927136,0.001464261,0.001512756,0.001202947,0.00000792521,0.0000622212,0.00007054224,0.002865525],"genre_scores_gemma":[0.001106585,0.9927463,0.001145547,0.001362713,0.0006089583,0.00001471816,0.0001064866,0.00001282497,0.002895972],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006189795,"threshold_uncertainty_score":0.02070689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354551946490936,"score_gpt":0.451449348742867,"score_spread":0.3979038292779576,"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."}}