{"id":"W1564917332","doi":"10.5772/13093","title":"Optimization Approaches in Wireless Sensor Networks","year":2010,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Wireless sensor network; Computer science; Embedded system; Node (physics); Wireless; Reliability (semiconductor); Engineering; Computer network; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0003725847,0.0006764717,0.0006564126,0.0005317941,0.0001226734,0.0002569665,0.001748007,0.001542388,0.0000370103],"category_scores_gemma":[0.00001601149,0.00069904,0.0002178908,0.0000841865,0.000266206,0.0001198706,0.0006495884,0.002264473,0.00003761978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558074,"about_ca_system_score_gemma":0.000105952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002026477,"about_ca_topic_score_gemma":0.0001401261,"domain_scores_codex":[0.996918,0.00005512764,0.0007256106,0.001158608,0.0005049139,0.0006377362],"domain_scores_gemma":[0.9975429,0.0001929459,0.0004296441,0.001529992,0.0001398866,0.0001646738],"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":[0.00002707058,0.00005869342,0.000009663782,0.00004446407,0.00007731804,0.0002915908,0.0003058143,0.5969171,0.0006767854,0.3292768,0.00007489551,0.0722398],"study_design_scores_gemma":[0.0003654569,0.00006284832,0.000001721662,0.0004882849,0.00001992878,0.00007215474,0.000006609607,0.9788303,0.004617599,0.002266123,0.01219766,0.00107129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00004218421,0.00007801136,0.6406415,0.00006671097,0.0008686263,0.0003203049,0.000002089051,0.0003779975,0.3576027],"genre_scores_gemma":[0.2329555,0.0001380617,0.2543295,0.0006378783,0.001478954,0.0001419303,0.0001068963,0.0004753739,0.5097358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3863119,"threshold_uncertainty_score":0.9997538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781277085011872,"score_gpt":0.2122413119845557,"score_spread":0.184428541134437,"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."}}