{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003146289,0.00118653,0.001434261,0.002055139,0.001121414,0.002221856,0.003099272,0.00172573,0.006085936],"category_scores_gemma":[0.03211069,0.0007675377,0.000945152,0.003200198,0.002105014,0.007555968,0.002990795,0.002738343,0.0006243337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243757,"about_ca_system_score_gemma":0.001173794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002852753,"about_ca_topic_score_gemma":0.003035846,"domain_scores_codex":[0.9975321,0.0008040986,0.0001061351,0.0004454535,0.000850561,0.0002615515],"domain_scores_gemma":[0.9790307,0.01714428,0.001405699,0.000785852,0.001216876,0.0004166293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007276941,0.00002207542,0.0007404497,0.0001673929,0.00003948323,0.0001078004,0.000145315,0.8311861,0.001246728,0.1508502,0.002009768,0.01341197],"study_design_scores_gemma":[0.00001002242,0.0000308065,0.0002835367,0.00003756504,0.00001381627,0.00006733804,0.00003275025,0.9055408,0.000347655,0.09202044,0.001602543,0.00001261212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02410111,0.001649473,0.9645714,0.001039274,0.00006051989,0.00006483994,0.0004231861,0.000237126,0.007853187],"genre_scores_gemma":[0.7337823,0.009002044,0.2456109,0.00068785,0.000421808,0.0009798132,0.001969327,0.0005525375,0.00699341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006085936,"threshold_uncertainty_score":0.02035946,"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."}}