{"id":"W3035644016","doi":"10.1109/mcom.001.2000009","title":"Aqua-Fi: Delivering Internet Underwater Using Wireless Optical Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Red Sea Research Center, King Abdullah University of Science and Technology; Assiut University; King Abdulaziz City for Science and Technology; University of Waterloo; King Abdullah University of Science and Technology; King Fahd University of Petroleum and Minerals; Nanyang Technological University; University of Bristol; University of Glasgow","keywords":"Computer science; The Internet; Wireless; Underwater; Optical wireless; Computer network; Telecommunications; Underwater acoustic communication; Transmission (telecommunications); Optical communication; Electronic engineering; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001185197,0.0002615198,0.0003109062,0.00009864076,0.0001359538,0.0001118013,0.002387469,0.0001970004,0.00005548685],"category_scores_gemma":[0.00005645961,0.0002821785,0.00008868646,0.0005164163,0.0003577172,0.0002548546,0.000951195,0.000825617,0.0003450165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140551,"about_ca_system_score_gemma":0.00001610176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151637,"about_ca_topic_score_gemma":0.00003321475,"domain_scores_codex":[0.9986854,0.00007298592,0.0004954103,0.0002244459,0.0001522108,0.0003695906],"domain_scores_gemma":[0.9972575,0.0002356883,0.00005758647,0.002188017,0.00009909063,0.0001621697],"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":[0.00007034857,0.0004778387,0.001508909,0.0003006764,0.0007849862,0.00002617638,0.001839344,0.6532331,0.1419563,0.0510021,0.01075328,0.1380469],"study_design_scores_gemma":[0.0002416307,0.00002933215,0.0001655213,0.00005397935,0.00003051721,0.00000870167,0.00006089269,0.9823908,0.006437853,0.0001363876,0.01012517,0.0003192789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2028495,0.00414074,0.7702541,0.006263719,0.0003345683,0.0004535146,0.00001235767,0.003947371,0.01174404],"genre_scores_gemma":[0.9529908,0.00162941,0.04488959,0.0002461883,0.00006599258,0.00003813302,0.0000313873,0.00007789343,0.00003062614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7501413,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591723293022414,"score_gpt":0.2650650809402014,"score_spread":0.2091478480099773,"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."}}