{"id":"W4399154723","doi":"10.1109/wf-iot58464.2023.10539526","title":"The 1st Workshop on 5G and Machine Learning for IoT and Unmanned Aerial Vehicles (UAV)","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Drone; Computer science; Internet of Things; Exploit; Artificial intelligence; Sustainability; Machine to machine; Systems engineering; Embedded system; Computer security; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00008189818,0.00004976236,0.00004470494,0.00002428829,0.0001789547,0.00005712031,0.00002721649,0.00002845158,0.000005371354],"category_scores_gemma":[0.00002273216,0.00003577196,0.000008478471,0.00009598301,0.0000138188,0.00001740653,0.00001052583,0.00004630908,0.000006274378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005258597,"about_ca_system_score_gemma":0.000001745917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004850227,"about_ca_topic_score_gemma":0.00004430793,"domain_scores_codex":[0.9997439,0.0000045783,0.0000604626,0.00007171776,0.00002960053,0.00008970529],"domain_scores_gemma":[0.9997467,0.0001589618,0.000007452446,0.00005750268,0.000008791098,0.00002061563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007277294,0.00001166126,0.0007508925,0.00005352894,0.0000490723,4.071642e-7,0.0004383107,0.71035,0.003690294,0.02623116,0.005968561,0.2523834],"study_design_scores_gemma":[0.000266209,0.00001768865,0.001686371,0.000006431536,0.000005227235,3.984057e-7,0.00009480024,0.970055,0.0004847508,0.000374766,0.02694324,0.00006507574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491845,0.0006707694,0.03975941,0.002986844,0.0002566211,0.0007352481,0.00001165078,0.001055407,0.005339493],"genre_scores_gemma":[0.9962576,0.0008205823,0.001139037,0.00002389791,0.0000890985,0.00006362255,0.0000244431,0.00002069517,0.001561047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2597051,"threshold_uncertainty_score":0.1458738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564771874851377,"score_gpt":0.2238700431536512,"score_spread":0.2082223244051374,"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."}}