{"id":"W2463191159","doi":"","title":"An Energy Efficient Three Dimensional Coverage Method for Wireless Sensor Networks","year":2013,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Wireless sensor network; Energy (signal processing); Key distribution in wireless sensor networks; Wireless; Wireless network; Computer network; Telecommunications; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006906499,0.00027042,0.0006018998,0.000133561,0.0003031051,0.00007672997,0.0005759763,0.0002066033,0.000001660933],"category_scores_gemma":[0.00002658258,0.0001970127,0.000114286,0.0002289982,0.0001265043,0.0002109053,0.0002383724,0.0005082991,8.331541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000415737,"about_ca_system_score_gemma":0.00003438797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005418549,"about_ca_topic_score_gemma":0.000001580133,"domain_scores_codex":[0.998007,0.00007730383,0.0006721674,0.0003735163,0.0004167164,0.000453278],"domain_scores_gemma":[0.9977821,0.0009363241,0.0005663085,0.0002311036,0.0002710901,0.0002131239],"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":[0.00004632375,0.00005826912,0.00007545541,0.00001319955,0.0001636491,0.000004325958,0.0002855595,0.8910862,0.004702121,0.03677486,0.0016167,0.06517338],"study_design_scores_gemma":[0.0008970746,0.0001915007,0.0004695458,0.00007011943,0.00004580297,0.00008340835,0.0001932203,0.9927253,0.001611166,0.002845653,0.0005870965,0.0002801827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1929624,0.003274095,0.8024548,0.0006294369,0.0004389663,0.0001460163,9.832182e-7,0.00003426486,0.00005907888],"genre_scores_gemma":[0.8991678,0.0008293638,0.09832853,0.0009462808,0.000648262,0.00002808731,9.285043e-7,0.00002071415,0.00003006638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7062054,"threshold_uncertainty_score":0.8033943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802781054499501,"score_gpt":0.2810146396102997,"score_spread":0.2629868290653046,"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."}}