{"id":"W4387545825","doi":"10.1007/978-3-031-24861-0_272","title":"Ensuring Privacy in Smart Farming: Review of Regulations, Codes of Conduct, and Best Practices","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Internet privacy; Business; Agriculture; Computer security; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01200219,0.0007119136,0.0009187305,0.004606611,0.001674317,0.006092487,0.00237974,0.004621937,0.003450702],"category_scores_gemma":[0.01790415,0.0004598333,0.0006390915,0.006781329,0.006460107,0.005395312,0.002245201,0.004201715,0.001508679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006567659,"about_ca_system_score_gemma":0.02368865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01950658,"about_ca_topic_score_gemma":0.04623991,"domain_scores_codex":[0.9883736,0.003191971,0.0009307215,0.0005491673,0.006554622,0.0003999762],"domain_scores_gemma":[0.9826108,0.01041045,0.001532751,0.0005506944,0.00461637,0.0002790335],"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":[0.00002515348,0.00006993946,0.0003411587,0.007965448,0.00002784882,0.0001521799,0.001130821,0.0009964808,0.0005626285,0.219797,0.2005065,0.5684249],"study_design_scores_gemma":[0.000004004488,0.00002523929,0.0005556347,0.01331719,0.00001911768,0.000139624,0.0006208839,0.0001234312,0.0003004817,0.02175545,0.9631207,0.00001825503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007254088,0.8954243,0.006638242,0.03859808,0.002792924,0.00009156764,0.000117935,0.00005759978,0.05555398],"genre_scores_gemma":[0.009391245,0.9471477,0.01136914,0.01865807,0.001014424,0.0001497603,0.0001649693,0.00004014769,0.01206455],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01950658,"threshold_uncertainty_score":0.06347436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915985399626561,"score_gpt":0.3894647118978457,"score_spread":0.1978661719351895,"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."}}