{"id":"W3216055321","doi":"10.1109/wisee50203.2021.9613831","title":"Group Authentication for Drone Swarms","year":2021,"lang":"","type":"preprint","venue":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Polytechnique Montréal","funders":"","keywords":"Drone; Swarm behaviour; Computer science; Authentication (law); Computer security; Artificial intelligence","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","sts","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.001584168,0.001811233,0.002401518,0.001686093,0.00187267,0.0006094219,0.01033301,0.004002594,0.0006998271],"category_scores_gemma":[0.0004920567,0.002536976,0.001441192,0.00382261,0.001936607,0.001799325,0.0110292,0.006937143,0.00009369861],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006018471,"about_ca_system_score_gemma":0.001086282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000485496,"about_ca_topic_score_gemma":0.000762057,"domain_scores_codex":[0.9903656,0.0006551015,0.00184349,0.004043525,0.001103501,0.001988737],"domain_scores_gemma":[0.991461,0.001663254,0.001259494,0.003401207,0.0008302943,0.00138475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003087752,0.002163153,0.000138502,0.00156593,0.001078427,0.0004515512,0.001286594,0.01367044,0.08192148,0.8742755,0.01416039,0.006200294],"study_design_scores_gemma":[0.008319378,0.0008555954,0.002156543,0.002656271,0.003450258,0.0001297958,0.006865897,0.03010903,0.001097499,0.02409349,0.9143888,0.005877407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006184482,0.0002980584,0.9317146,0.002073654,0.0004778147,0.008701668,0.003238229,0.001810196,0.04550131],"genre_scores_gemma":[0.5885594,0.01571131,0.3690798,0.0002608827,0.0004592451,0.00009344597,0.007909586,0.0005660108,0.01736037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9002284,"threshold_uncertainty_score":0.9994633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125030656511622,"score_gpt":0.2492789387180117,"score_spread":0.2280286321528955,"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."}}