{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006009536,0.0002348499,0.00007526651,0.0001401753,0.0001639771,0.0001968429,0.0001892657,0.0001674907,0.0007573756],"category_scores_gemma":[0.00008738117,0.00007952666,0.0001198148,0.00007844724,0.0001650979,0.0002291162,0.0001523392,0.000145744,0.0001203729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154366,"about_ca_system_score_gemma":0.0001310036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136421,"about_ca_topic_score_gemma":0.001823198,"domain_scores_codex":[0.9999489,0.00000510117,0.000002467287,0.00001286608,0.00002231089,0.00000840882],"domain_scores_gemma":[0.9999212,0.00001534599,0.00002577458,0.00001015977,0.00001812129,0.000009401799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001059228,0.00007218978,0.001852049,0.0001051654,0.00001251266,0.0002021549,0.0000980385,0.009199563,0.9728402,0.0008414638,0.0001722623,0.01449836],"study_design_scores_gemma":[0.00008189986,0.001623897,0.01035196,0.00003656081,0.00004983193,0.0002825795,0.0002007346,0.1100716,0.8674077,0.0003655462,0.009475323,0.00005232202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975448,0.0002894435,0.02122546,0.00005197052,0.00003106645,0.00004523458,0.00005962236,0.0000778033,0.002771479],"genre_scores_gemma":[0.9903839,0.000150434,0.008149615,0.00001142802,0.000005967784,0.00002556972,0.0000297366,0.000005351549,0.001237886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001136421,"threshold_uncertainty_score":0.002533615,"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."}}