{"id":"W4230323069","doi":"10.1002/wcm.667","title":"Underwater sensor networks: architectures and protocols","year":2008,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Ottawa","funders":"","keywords":"Underwater; Underwater acoustic communication; Computer science; Wireless sensor network; Telecommunications; Real-time computing; Computer network; Oceanography; Geology","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":[0.0001425939,0.0001524237,0.0002003117,0.00006172865,0.0005656953,0.00007456013,0.0003858546,0.00006521581,0.000002497178],"category_scores_gemma":[7.838524e-7,0.0001410114,0.00003003489,0.0001113904,0.0002126312,0.00004487426,0.0004167357,0.0002434286,0.00000278476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001771337,"about_ca_system_score_gemma":0.000008047055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003261484,"about_ca_topic_score_gemma":0.00001555316,"domain_scores_codex":[0.9991763,0.0001054589,0.0002932925,0.0001470716,0.00007204693,0.0002057957],"domain_scores_gemma":[0.9987957,0.0001522145,0.00004794048,0.0008828674,0.00004023784,0.00008107108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000243965,0.0003052566,0.04168642,0.0005479347,0.0003332542,0.00001067209,0.02376898,0.1229207,0.01939875,0.001409016,0.000337301,0.7892573],"study_design_scores_gemma":[0.0004847873,0.00005561556,0.00369901,0.0001873096,0.00000959122,0.0002324045,0.0006275274,0.9389102,0.0007636408,0.00008140816,0.05458875,0.0003596962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307695,0.003332509,0.06154703,0.000127181,0.00002049711,0.002801073,0.000003421153,0.0004529373,0.0009458353],"genre_scores_gemma":[0.9892859,0.00118134,0.008443435,0.00004830521,0.00003877962,0.0009247228,0.00001014002,0.00003044674,0.00003694378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8159895,"threshold_uncertainty_score":0.5750276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795153570655946,"score_gpt":0.2571435240830695,"score_spread":0.2291919883765101,"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."}}