{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474397,0.001282067,0.001028943,0.001208444,0.001012192,0.002441138,0.002859764,0.001921222,0.005044241],"category_scores_gemma":[0.002622224,0.0006680055,0.0003723493,0.00265918,0.0008811774,0.003761909,0.002519846,0.002070669,0.003974642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061358,"about_ca_system_score_gemma":0.002000679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484242,"about_ca_topic_score_gemma":0.002896165,"domain_scores_codex":[0.998108,0.0005102647,0.0002127646,0.0001728854,0.0008924454,0.0001035432],"domain_scores_gemma":[0.9989055,0.0003055668,0.0000994953,0.0001285677,0.0004945754,0.00006621089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001051428,0.0001213752,0.0007318583,0.002929747,0.0001055058,0.0003314345,0.0005645331,0.07422602,0.006658709,0.1287215,0.1438579,0.6416463],"study_design_scores_gemma":[0.00005133526,0.0001349144,0.0004764277,0.0008659092,0.00005660498,0.0005560326,0.0003357621,0.1618309,0.00302074,0.1027164,0.7298524,0.0001025891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004892232,0.08584237,0.8227534,0.006177718,0.003014406,0.0017207,0.001909983,0.007393439,0.0662958],"genre_scores_gemma":[0.2211642,0.2197064,0.4648211,0.004879033,0.003685762,0.005443022,0.009356808,0.00104774,0.06989594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005044241,"threshold_uncertainty_score":0.01687473,"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."}}