{"id":"W6888590328","doi":"10.21227/7m85-jg51","title":"UAV Attack Dataset","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Global Positioning System; Flight plan; Spoofing attack; Assisted GPS; Plan (archaeology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006862214,0.001217451,0.001345081,0.0003716132,0.0001819602,0.0002926087,0.00460714,0.0007203082,0.007305041],"category_scores_gemma":[0.000383045,0.001263128,0.0002077973,0.0008315265,0.000303299,0.0007462291,0.001231854,0.001888097,0.6878235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106365,"about_ca_system_score_gemma":0.0006915592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518397,"about_ca_topic_score_gemma":0.0006286175,"domain_scores_codex":[0.9936685,0.0001830065,0.001181717,0.00222976,0.001656768,0.00108024],"domain_scores_gemma":[0.9908025,0.0001118185,0.0009189381,0.007263159,0.0000995361,0.0008040203],"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":[0.00008496167,0.0001939382,0.000006365599,0.0003098747,0.0003037946,0.002753131,0.000004084022,0.000005872955,0.00006878447,6.855568e-7,0.9962263,0.00004226413],"study_design_scores_gemma":[0.0005500542,0.00007966213,0.00001782229,0.00009673661,0.0006579355,0.0001844207,0.000006998772,0.000009223781,0.00007198173,0.00000353172,0.9969802,0.001341367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003003996,0.00007016573,0.000006064803,0.00009787706,0.002388646,0.0007355357,0.9963024,0.0002580255,0.0001382726],"genre_scores_gemma":[7.791048e-7,0.0001584097,0.0001506026,0.002640851,0.00246483,0.00009731498,0.99401,0.0002956168,0.0001816128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6805185,"threshold_uncertainty_score":0.9989818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09451187454456518,"score_gpt":0.3564431433944946,"score_spread":0.2619312688499294,"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."}}