{"id":"W1551174193","doi":"10.1007/978-3-540-74171-8_8","title":"Agent-Based Routing for Wireless Sensor Network","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Computer network; Wireless sensor network; Computer science; Distributed computing; Redundancy (engineering); Network topology","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":[0.0003305776,0.0006870722,0.0006348396,0.0004212736,0.0003026913,0.001032613,0.00126111,0.0008449752,0.003610082],"category_scores_gemma":[0.000685522,0.0003555705,0.0002857094,0.0008577895,0.000317303,0.001203626,0.0006028708,0.0009180781,0.001883667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243944,"about_ca_system_score_gemma":0.0003050245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00062709,"about_ca_topic_score_gemma":0.000759186,"domain_scores_codex":[0.9997448,0.0000692244,0.00001834666,0.00003683429,0.00011802,0.00001271533],"domain_scores_gemma":[0.9998331,0.00006774491,0.00001244352,0.00003240201,0.00004349332,0.00001085888],"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":[0.00009184135,0.0001156726,0.0002100492,0.0009078981,0.0001090573,0.0001688338,0.0001448499,0.1261974,0.01479886,0.1491975,0.06031417,0.6477439],"study_design_scores_gemma":[0.00003911316,0.0001330008,0.0002745527,0.0001369057,0.00007559548,0.0004075581,0.00004769329,0.5603862,0.005825351,0.1110717,0.3215673,0.00003501727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002976159,0.01901406,0.9468731,0.0006234598,0.001513558,0.0001215519,0.0001105078,0.001820064,0.02694763],"genre_scores_gemma":[0.1373576,0.03113149,0.7237281,0.0004047497,0.00108233,0.0004445999,0.000725113,0.0004937837,0.1046323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003610082,"threshold_uncertainty_score":0.01207691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497420347001812,"score_gpt":0.2544278994767841,"score_spread":0.229453696006766,"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."}}