{"id":"W7018440937","doi":"","title":"Cyber Security in Digital Agriculture: Investigating Farmer Perceptions, Preferences, & Expert Knowledge","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Sustainability; Public sector; Face (sociological concept); Key (lock); Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002868784,0.00009475185,0.0001341661,0.0009543861,0.001349006,0.002317633,0.0003390727,0.0005532227,0.004525447],"category_scores_gemma":[0.008081271,0.0001606751,0.0001397488,0.0008419878,0.001034897,0.001750503,0.001065053,0.0005134392,0.0005110523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384734,"about_ca_system_score_gemma":0.001500693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117987,"about_ca_topic_score_gemma":0.02100209,"domain_scores_codex":[0.998666,0.0004449353,0.00007864556,0.0001521409,0.0004263631,0.0002318595],"domain_scores_gemma":[0.993107,0.004154046,0.001069636,0.0001989473,0.0008035758,0.0006667652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001684956,0.0005988871,0.5221368,0.0002697152,0.00003320308,0.001753145,0.3645052,0.000232771,0.005121696,0.001220136,0.002718794,0.1012411],"study_design_scores_gemma":[0.00001478682,0.0003087653,0.3027202,0.0002225417,0.00002062629,0.0007452794,0.6776739,0.0007950781,0.0007441959,0.001199541,0.01551461,0.00004049663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945194,0.0000857927,0.0001389405,0.0004806831,0.000003764216,0.00001503884,0.00003386955,0.000001480969,0.004721048],"genre_scores_gemma":[0.9975989,0.0002220682,0.0001841997,0.0002335896,0.000003668227,0.00001589558,0.00003149997,0.000001260634,0.001708815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0117987,"threshold_uncertainty_score":0.02346009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207428305526457,"score_gpt":0.2263421963878931,"score_spread":0.2055993658352474,"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."}}