{"id":"W2045264069","doi":"10.1109/lcnw.2014.6927730","title":"Tree bound on probabilistic connectivity of Underwater Sensor Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Node (physics); Parameterized complexity; Computer science; Relay; Wireless sensor network; Tree (set theory); Underwater; Function (biology); Upper and lower bounds; Mathematical optimization; Algorithm; Computer network; Mathematics; Engineering; Artificial intelligence","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":[0.0001696473,0.00009594671,0.0001599979,0.000031279,0.00003197897,0.00002475591,0.0001276076,0.00005683327,0.00004889703],"category_scores_gemma":[0.000003137386,0.0000756252,0.00004178044,0.00006191408,0.00003149611,0.00003661296,0.00002255035,0.00008449092,0.0000337838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002266627,"about_ca_system_score_gemma":0.000002825393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002389686,"about_ca_topic_score_gemma":0.00007975725,"domain_scores_codex":[0.9994285,0.00006561141,0.0001892387,0.00009563876,0.00008300001,0.0001380498],"domain_scores_gemma":[0.9993995,0.0001383437,0.00002391356,0.0003704587,0.00002865083,0.00003906607],"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":[0.00008609425,0.0004073583,0.006669004,0.000592271,0.0003456562,0.000001736908,0.0009076396,0.8102777,0.05584901,0.05963206,0.001762156,0.06346929],"study_design_scores_gemma":[0.0006423136,0.0001739314,0.004351072,0.00006634922,0.00001814282,0.000005894768,0.00009586707,0.9419509,0.02829932,0.002795216,0.02127222,0.0003288111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584899,0.00002685382,0.2965693,0.00009427442,0.00007922041,0.0001786143,0.000001192165,0.0002561257,0.04430448],"genre_scores_gemma":[0.9989294,0.000005183746,0.0005837926,0.00004669393,0.00004632722,0.00001138193,0.00000282824,0.00001867689,0.000355653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3404395,"threshold_uncertainty_score":0.3083906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633860666103301,"score_gpt":0.2081114094283245,"score_spread":0.1917728027672914,"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."}}