{"id":"W4285446583","doi":"10.36227/techrxiv.12885044.v3","title":"Link Budget Analysis for Reconfigurable Smart Surfaces in Aerial Platforms","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz University","keywords":"RSS; Computer science; Link budget; Context (archaeology); Wireless; Footprint; Channel (broadcasting); Computer network; Real-time computing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.000620844,0.000283613,0.0007924093,0.0004179333,0.00003001201,0.0002270613,0.0005885586,0.0004731758,0.0004485638],"category_scores_gemma":[0.00006333811,0.0002870612,0.0002768143,0.0005515011,0.00001523173,0.00008491526,0.0001509253,0.000430884,0.0000247295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847566,"about_ca_system_score_gemma":0.00006879668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000755837,"about_ca_topic_score_gemma":0.007418295,"domain_scores_codex":[0.9984905,0.00003344056,0.0006786699,0.0003614867,0.000149364,0.0002866106],"domain_scores_gemma":[0.998094,0.0002588833,0.0001008371,0.001352819,0.0001267796,0.00006672834],"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":[0.00002917585,0.0000356061,0.01488018,0.001094696,0.002882627,0.000004093373,0.001624253,0.9679905,0.002212475,0.0002147585,0.000630971,0.008400691],"study_design_scores_gemma":[0.001576718,0.0000329744,0.01358253,0.0005635956,0.0006364481,0.000004768971,0.001882579,0.8124974,0.03181242,0.001177526,0.1340119,0.002221132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877596,0.01183817,0.02251525,0.0004088228,0.004830486,0.002224869,0.0002173319,0.001244982,0.06896051],"genre_scores_gemma":[0.9878742,0.002181154,0.006788992,0.00002774075,0.0001617977,0.0003675964,0.001311302,0.00006534207,0.001221912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1554931,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04479592360562154,"score_gpt":0.2680199540926694,"score_spread":0.2232240304870479,"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."}}