{"id":"W4287879026","doi":"10.3390/su14159120","title":"Big Data Privacy in Smart Farming: A Review","year":2022,"lang":"en","type":"review","venue":"Sustainability","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Big data; Agriculture; Variety (cybernetics); Service provider; Information privacy; Computer science; Business; Internet privacy; Privacy policy; Privacy by Design; Data security; Computer security; Data science; Service (business); Marketing; Encryption; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002766213,0.0009002293,0.001277695,0.004417826,0.0006526604,0.002033771,0.001356578,0.001767565,0.003385071],"category_scores_gemma":[0.006238276,0.0005498742,0.001185584,0.006596118,0.0008981837,0.003743802,0.001276233,0.001793808,0.001372419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154032,"about_ca_system_score_gemma":0.004239698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344914,"about_ca_topic_score_gemma":0.003178607,"domain_scores_codex":[0.9986512,0.0003921909,0.0002051527,0.0001573282,0.0005111321,0.00008310829],"domain_scores_gemma":[0.9928792,0.005088546,0.0005322914,0.0001654907,0.001166335,0.0001682173],"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":[0.00005788338,0.00006865331,0.0006692933,0.0566071,0.0001912493,0.0002710536,0.0003126943,0.0007781599,0.0006245763,0.01912328,0.04566517,0.8756309],"study_design_scores_gemma":[0.000008260345,0.00007271374,0.0008806027,0.02396041,0.0002219735,0.0008965309,0.0002439079,0.0002466211,0.0004204053,0.006197729,0.9668128,0.00003807452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001148192,0.9969925,0.0005193485,0.0007397439,0.0002040472,0.00001264286,0.00003080646,0.000008970329,0.001377152],"genre_scores_gemma":[0.0008020027,0.9979316,0.0005043791,0.0003374727,0.0001756397,0.00001299227,0.00003990893,0.000002853244,0.0001931412],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004417826,"threshold_uncertainty_score":0.0146293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2085949636568012,"score_gpt":0.397169604127399,"score_spread":0.1885746404705978,"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."}}