{"id":"W2989964416","doi":"10.1145/3345837.3355962","title":"Topology Control for Internet of Underwater Things","year":2019,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Internet of Things; Underwater; Computer science; The Internet; Control (management); Topology (electrical circuits); Computer network; Computer security; World Wide Web; Engineering; Artificial intelligence; Geography; Electrical engineering; Archaeology","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":[0.00007202442,0.00004727119,0.0001183087,0.00002431278,0.00000464055,0.000007490372,0.0001360856,0.00003997354,0.0001936197],"category_scores_gemma":[2.692747e-7,0.00003710186,0.00003853544,0.00001653145,0.00001016325,0.0000551044,0.00001461958,0.00003082527,0.00006515228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040362,"about_ca_system_score_gemma":0.000002222423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004410681,"about_ca_topic_score_gemma":0.000004631662,"domain_scores_codex":[0.9996771,0.000009594168,0.0001477453,0.00004962928,0.00003021252,0.00008569708],"domain_scores_gemma":[0.9997469,0.00004651886,0.00001593544,0.0001527427,0.00002369395,0.00001419641],"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":[0.0001655632,0.0001218315,0.02120887,0.001189938,0.0009179061,5.614006e-7,0.007629152,0.004433331,0.7627377,0.1631972,0.009459166,0.02893881],"study_design_scores_gemma":[0.003444683,0.0002661863,0.0007969508,0.00005079302,0.00002655198,0.000009648005,0.000882265,0.2909919,0.3915244,0.005857869,0.3057869,0.0003619032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1417363,0.00008702875,0.8297231,0.0004110119,0.00013509,0.0003348069,0.000002652889,0.0001401598,0.02742988],"genre_scores_gemma":[0.9956791,0.000002637459,0.001672059,0.0001579424,0.00001368309,0.00001457573,0.000002788151,0.0000105275,0.002446702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8539428,"threshold_uncertainty_score":0.212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122507498180222,"score_gpt":0.2138031173396642,"score_spread":0.202578042357862,"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."}}