{"id":"W2912986746","doi":"","title":"Proceedings of the third ACM international workshop on Underwater Networks","year":2008,"lang":"en","type":"article","venue":"ACM/IEEE International Conference on Mobile Computing and Networking","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwater; Underwater acoustic communication; Telecommunications; Computer science; Bandwidth (computing); Channel (broadcasting); Environmental science; Suite; Oceanography; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002255431,0.0002115541,0.0002053735,0.00009316973,0.0002083878,0.0001195213,0.001434674,0.0001099418,0.00001886044],"category_scores_gemma":[0.00001131381,0.0001661768,0.00008823376,0.0001425221,0.0001049862,0.00009672925,0.0003888992,0.0004303083,0.00000700761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007335216,"about_ca_system_score_gemma":0.00001321696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009346964,"about_ca_topic_score_gemma":0.000004116391,"domain_scores_codex":[0.9986995,0.00002575615,0.0004157604,0.0002604727,0.0003629109,0.0002355414],"domain_scores_gemma":[0.9990164,0.0002219589,0.0001620761,0.0003546905,0.0001905461,0.0000543163],"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":[0.0003367049,0.0004448958,0.09589195,0.0001229718,0.001300948,0.00001661089,0.00811889,0.5539153,0.01879167,0.01407211,0.01232017,0.2946677],"study_design_scores_gemma":[0.0008348222,0.0001030509,0.006089953,0.001691565,0.00001815884,0.00008684745,0.0006620576,0.9582902,0.004748236,0.001833437,0.02511131,0.0005303161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727439,0.0001873185,0.005097828,0.0008371793,0.002441907,0.0002852006,0.000003621024,0.000208998,0.01819408],"genre_scores_gemma":[0.997473,0.0007776914,0.0004381607,0.0002169536,0.000760221,0.00002013133,0.000006979992,0.00002754839,0.0002793339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4043749,"threshold_uncertainty_score":0.6776493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06829117073311955,"score_gpt":0.284013589596007,"score_spread":0.2157224188628874,"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."}}