{"id":"W4295942055","doi":"10.3390/s22186945","title":"Cooperative Energy-Efficient Routing Protocol for Underwater Wireless Sensor Networks","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer network; Wireless sensor network; Computer science; Routing protocol; Energy consumption; Network packet; Sink (geography); Key distribution in wireless sensor networks; Efficient energy use; Base station; Wireless; Engineering; Wireless network; Telecommunications; Electrical engineering","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":[0.0005885008,0.0004199272,0.0004870322,0.0005593416,0.000563158,0.0004725145,0.001019118,0.0004727501,0.0006933381],"category_scores_gemma":[0.001325933,0.0001856719,0.0003054957,0.0007923896,0.0003390514,0.0007972551,0.0007700169,0.0005770642,0.0002561304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697496,"about_ca_system_score_gemma":0.0007930789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862676,"about_ca_topic_score_gemma":0.002845274,"domain_scores_codex":[0.9994656,0.0001634131,0.00004569554,0.00006750922,0.0002159922,0.00004163957],"domain_scores_gemma":[0.9995558,0.0001295306,0.00005803528,0.0000577948,0.0001807796,0.00001815305],"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":[0.0002859931,0.0002076878,0.001221386,0.0008787472,0.0002406784,0.001054869,0.001109133,0.3615187,0.08858924,0.1125847,0.02843055,0.4038783],"study_design_scores_gemma":[0.00008599798,0.0003721281,0.0006049713,0.00008248439,0.0000998524,0.0006255744,0.0002007532,0.8850873,0.01811204,0.02960057,0.0650483,0.00008012874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01955301,0.003170933,0.9669418,0.0005333839,0.0003345061,0.0003102303,0.0001100018,0.001004498,0.008041738],"genre_scores_gemma":[0.6781476,0.003173673,0.3030096,0.0004434723,0.0001285019,0.001112286,0.0007684637,0.0001121913,0.01310426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001862676,"threshold_uncertainty_score":0.003703713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266590387283855,"score_gpt":0.2480109423689536,"score_spread":0.225345038496115,"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."}}