{"id":"W6944886506","doi":"10.21227/724n-ke96","title":"UAV Attack Dataset","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Autopilot; Global Positioning System; Flight plan; Spoofing attack; Plan (archaeology); Course (navigation)","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":[0.0004541839,0.002486816,0.001145097,0.001754877,0.000669756,0.001243235,0.002491475,0.001866137,0.01513728],"category_scores_gemma":[0.002384927,0.0003977409,0.001569063,0.002072434,0.0002783413,0.001257806,0.00122419,0.001521804,0.01708466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006117,"about_ca_system_score_gemma":0.001032628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01748894,"about_ca_topic_score_gemma":0.0373988,"domain_scores_codex":[0.9991817,0.0001186992,0.0001041349,0.0002408699,0.000244493,0.0001101355],"domain_scores_gemma":[0.9992466,0.0001771657,0.00005791539,0.0002520449,0.0001962703,0.0000700477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002723125,0.0002067028,0.005592946,0.001215822,0.0002086457,0.0002636297,0.00005265789,0.01878211,0.0009755411,0.001345487,0.9517416,0.01934242],"study_design_scores_gemma":[0.0003951597,0.0002432986,0.01398695,0.0003561099,0.0001378811,0.0005080677,0.0002359098,0.06316809,0.003434759,0.00423333,0.9131916,0.0001088667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007413893,0.001094929,0.002625784,0.0004152684,0.0004174085,0.0002038011,0.9733918,0.008066508,0.00637051],"genre_scores_gemma":[0.007314422,0.0001944637,0.002119335,0.0001119063,0.00001823151,0.0001279056,0.988889,0.0001900548,0.001034718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01748894,"threshold_uncertainty_score":0.05063927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162887934249907,"score_gpt":0.3405017732135289,"score_spread":0.2242129797885382,"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."}}