{"id":"W6888580618","doi":"10.21227/jp37-y129","title":"HITL UAV DoS GPS Spoofing Attacks (MAVLink)","year":2020,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Autopilot; Global Positioning System; Flight plan; Spoofing attack; Data collection; Plan (archaeology); Software","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":[0.0003459463,0.001112564,0.0004955126,0.0005747298,0.000376709,0.0007510218,0.001246021,0.000628891,0.02781578],"category_scores_gemma":[0.001310429,0.0002861619,0.0004809783,0.0004387025,0.0001855981,0.0009135411,0.0009059241,0.001147013,0.008006387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879186,"about_ca_system_score_gemma":0.0005119902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008142628,"about_ca_topic_score_gemma":0.007890204,"domain_scores_codex":[0.9997334,0.00004069163,0.00001395996,0.00004881812,0.00009666238,0.00006650994],"domain_scores_gemma":[0.9996982,0.0000735293,0.00002456228,0.00007058657,0.00009501741,0.00003818384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009849741,0.0002820794,0.01139764,0.00121578,0.0001834179,0.0007653924,0.0004154637,0.4811329,0.00989656,0.00880284,0.4351484,0.04977466],"study_design_scores_gemma":[0.0002896744,0.0003221745,0.004472425,0.0001100204,0.00005235498,0.0001615675,0.0001706247,0.8269354,0.01223871,0.00338516,0.1518071,0.00005472155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.2182429,0.001546035,0.1503981,0.001571181,0.001699844,0.00124307,0.162201,0.2739584,0.1891395],"genre_scores_gemma":[0.7142364,0.0006842401,0.07194249,0.0005180201,0.00007069446,0.001098953,0.1674281,0.01230975,0.0317113],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02781578,"threshold_uncertainty_score":0.0930531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234539135689908,"score_gpt":0.2896495723318982,"score_spread":0.2473041809749991,"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."}}