{"id":"W3195556073","doi":"10.3390/app11167518","title":"A Review on Security of Smart Farming and Precision Agriculture: Security Aspects, Attacks, Threats and Countermeasures","year":2021,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Countermeasure; Computer security; Agriculture; Business; Internet of Things; Honeypot; Computer science; Risk analysis (engineering); Internet privacy; Engineering; Geography","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":[0.001444487,0.0004524423,0.00150812,0.0001840419,0.0003094944,0.0002085867,0.0009871016,0.0001993371,0.000004630228],"category_scores_gemma":[0.0001297854,0.0003080675,0.0001596033,0.00130099,0.0004244157,0.0003169976,0.0006906122,0.0004167883,0.000002823647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006107253,"about_ca_system_score_gemma":0.0001871832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008662639,"about_ca_topic_score_gemma":0.00002378288,"domain_scores_codex":[0.9969398,0.0001855396,0.0006219144,0.001257603,0.000685926,0.0003091641],"domain_scores_gemma":[0.9980465,0.0004608901,0.0006357919,0.0006086526,0.0001310169,0.0001171917],"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":[9.028466e-7,0.00003120435,8.500557e-7,0.009173329,0.00001625858,0.000005133915,0.00009960827,1.889027e-7,0.00000571236,0.01616297,0.0006427151,0.9738611],"study_design_scores_gemma":[0.00009076335,0.000249937,0.000002827385,0.05832514,0.0001435308,0.0002297738,0.00003003543,0.00002959466,0.0005783076,0.01843649,0.9212336,0.0006500108],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005217907,0.992136,0.00445199,0.00004622071,0.0001286884,0.001049515,0.00001406709,0.0001635442,0.002004744],"genre_scores_gemma":[0.0004286444,0.9958141,0.003381115,0.0001813198,0.00003689617,0.0001332503,0.00000397907,0.00001079044,0.000009918047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9732111,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331043739111019,"score_gpt":0.3426784737171092,"score_spread":0.2993680363259991,"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."}}