{"id":"W4281720165","doi":"10.36227/techrxiv.19919732.v1","title":"Beyond-Cell Communications via HAPS-RIS","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"King Abdulaziz University","keywords":"Quality of service; Computer science; Computer network; Base station; Service (business); Cellular network; Transmitter power output; Telecommunications; Transmitter","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.0001212114,0.0003072151,0.0003225117,0.0002440515,0.0002194431,0.00004353451,0.004407621,0.0002938735,0.0009107371],"category_scores_gemma":[0.00002353461,0.0003642672,0.0001294052,0.0002552772,0.0001570377,0.00008237043,0.00898779,0.002185191,0.0001323431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912876,"about_ca_system_score_gemma":0.00002998173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004988668,"about_ca_topic_score_gemma":0.00004459872,"domain_scores_codex":[0.9988232,0.00005867217,0.0004143725,0.0002669343,0.0001877073,0.0002490835],"domain_scores_gemma":[0.9927725,0.0001749952,0.0001059638,0.006851126,0.00005023136,0.00004518989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003052,0.0002150514,0.0002306366,0.0003892157,0.0001759888,0.000003445473,0.0006136156,0.8585591,0.003386864,0.02837654,0.02177148,0.08627503],"study_design_scores_gemma":[0.0004210692,0.00003454621,0.0001703261,0.0000543746,0.00005656266,0.00000619312,0.00155062,0.4122811,0.01841243,0.1148509,0.4503781,0.001783755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001863649,0.01930825,0.5002543,0.002009132,0.0007938229,0.0008591408,0.0001534165,0.0138759,0.4608824],"genre_scores_gemma":[0.8302131,0.01311924,0.1534993,0.00008834774,0.00001597686,0.0009053563,0.0005038957,0.0001161816,0.001538649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8283494,"threshold_uncertainty_score":0.9998809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134616850157991,"score_gpt":0.2603198742855609,"score_spread":0.2389737057839809,"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."}}