{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002010341,0.0003551126,0.0008402101,0.0002139621,0.0001659219,0.00005375269,0.000223779,0.0003883459,0.000005342059],"category_scores_gemma":[0.001090586,0.0003334709,0.0002587075,0.0003863509,0.00001885633,0.000003544894,0.0003455569,0.0002455193,0.000002824207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018159,"about_ca_system_score_gemma":0.0003674123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005537679,"about_ca_topic_score_gemma":0.00001987358,"domain_scores_codex":[0.9973536,0.0008823543,0.000566607,0.0006979199,0.0001240399,0.0003755345],"domain_scores_gemma":[0.9988093,0.0001180225,0.0001430566,0.0005730476,0.00007030265,0.0002862706],"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":[0.000005599244,0.00001044953,8.417063e-7,0.004105379,0.00006447773,2.507499e-7,0.00003073459,0.000008248817,0.0004145488,0.00001746285,0.000252852,0.9950892],"study_design_scores_gemma":[0.0001001764,0.0003393254,0.00001156106,0.001481001,0.00007612396,0.00003117124,0.00002277753,0.00001340697,0.0003094872,0.00002046853,0.9973007,0.0002937308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001810552,0.5233752,0.4756454,0.00005493451,0.0003111612,0.0004166132,0.00003349361,0.00001744631,0.0001439877],"genre_scores_gemma":[0.00001111105,0.8804122,0.1185126,0.0001028636,0.0003003059,0.00009314992,0.0001478037,0.00003985639,0.0003801274],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970479,"threshold_uncertainty_score":0.9999117,"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."}}