{"id":"W4409516604","doi":"10.3389/fdata.2025.1556157","title":"Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries","year":2025,"lang":"en","type":"review","venue":"Frontiers in Big Data","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Biosecurity; Animal welfare; Food security; Agriculture; Computer security; Critical infrastructure; Safeguarding; Traceability; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002415778,0.0003917882,0.001050546,0.0002012949,0.0001227961,0.0001789511,0.0008948744,0.0006849146,0.000001541068],"category_scores_gemma":[0.0007383578,0.0003655207,0.0001325739,0.0002409894,0.0001665809,0.00002015979,0.001641438,0.0003869711,0.00000120662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004667538,"about_ca_system_score_gemma":0.0006176685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887327,"about_ca_topic_score_gemma":0.000006406906,"domain_scores_codex":[0.9979134,0.00009323089,0.0004496588,0.0009685674,0.0001367694,0.0004383271],"domain_scores_gemma":[0.9984968,0.0000972509,0.0001563728,0.001055424,0.00008171535,0.000112382],"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":[0.00006252908,0.00002615227,0.0001970106,0.004774919,0.0001805573,0.000005115894,0.00001797866,1.034755e-7,0.00001246614,0.000007141575,0.04591195,0.9488041],"study_design_scores_gemma":[0.0004287008,0.00006900109,0.00001188369,0.002727879,0.0001204078,0.000007799589,0.0002252719,0.000007070432,0.00000573622,0.00005200143,0.9959851,0.0003591727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001583999,0.9860061,0.003053189,0.00002103212,0.001299497,0.001121016,0.008079442,0.000009211496,0.0002521386],"genre_scores_gemma":[0.0000796562,0.9835231,0.001233433,0.00003048371,0.0006388206,0.00008832501,0.01373125,0.00003845435,0.000636522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9500731,"threshold_uncertainty_score":0.9998797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141967926201983,"score_gpt":0.350505157272825,"score_spread":0.2363083646526267,"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."}}