{"id":"W4309786429","doi":"10.3390/photonics9110882","title":"Optically Powered and Controlled Drones Using Optical Fibers for Airborne Base Stations","year":2022,"lang":"en","type":"article","venue":"Photonics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Broadcom (Canada)","funders":"","keywords":"Drone; Base station; Computer science; Radio frequency; Ground station; Transmission (telecommunications); Real-time computing; Remote sensing; Telecommunications; Environmental science; Engineering; Aerospace engineering; Satellite; Geography","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":[0.0001210254,0.00007906365,0.0001348987,0.00004932923,0.0001977578,0.00003175787,0.00005449894,0.00002462721,0.00009476121],"category_scores_gemma":[0.00002885986,0.00008783449,0.00003661947,0.0001150495,0.00002093562,0.00005122989,0.00002721562,0.0000739927,0.000001054653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007401541,"about_ca_system_score_gemma":0.00003088828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004640558,"about_ca_topic_score_gemma":0.00000438769,"domain_scores_codex":[0.9994776,0.000009177369,0.0001649807,0.0001206056,0.00008371685,0.0001439634],"domain_scores_gemma":[0.9996427,0.0001205908,0.00002079726,0.0001206931,0.00003864761,0.00005655306],"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":[0.000082449,0.0000545107,0.00002113314,0.00002555879,0.00005284966,9.774017e-7,0.0002409465,0.9835805,0.005252203,0.009912093,0.0001735083,0.0006033147],"study_design_scores_gemma":[0.001625634,0.00003786182,0.00005359533,0.000001859653,0.00005026089,0.000004782188,0.0001927475,0.9951881,0.0003835982,0.0003465134,0.002008764,0.0001063216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5025812,0.0005144687,0.4935118,0.0002918874,0.0001845501,0.001391624,0.0002006107,0.0002219401,0.001101943],"genre_scores_gemma":[0.8003026,0.00005584586,0.1989175,0.00006114822,0.0000130711,0.000487837,0.00007923919,0.00003392225,0.00004892031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2977214,"threshold_uncertainty_score":0.3581786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195417128707085,"score_gpt":0.2274792717718862,"score_spread":0.2155251004848154,"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."}}