{"id":"W2017039027","doi":"10.1155/2013/696935","title":"Perception, Reaction, and Cognition in Wireless Sensor Networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Windsor; Computer science; Perception; China; Telecommunications; Library science; Psychology; Archaeology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004966673,0.0003131878,0.0004158538,0.0003927707,0.0001095668,0.0004770165,0.0008998238,0.0002856404,0.00004628334],"category_scores_gemma":[0.0001017867,0.0002990563,0.0001583398,0.0005401617,0.0001314286,0.001132434,0.000193117,0.0008236964,0.00001570825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568052,"about_ca_system_score_gemma":0.00004743536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007570914,"about_ca_topic_score_gemma":0.00001900522,"domain_scores_codex":[0.9969915,0.0002567572,0.001090411,0.0004235081,0.0007367064,0.0005011612],"domain_scores_gemma":[0.9967704,0.0003943066,0.0007666668,0.00029654,0.001511653,0.0002603915],"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":[0.0001338692,0.0003872177,0.01190369,0.000007346152,0.0002663001,0.0003760764,0.0002113141,0.9351125,0.002781155,0.001926779,0.004865987,0.04202771],"study_design_scores_gemma":[0.001496852,0.0001038556,0.07438551,0.0002392255,0.00002638067,0.001032325,0.0002867353,0.9210556,0.00006929847,0.0002684566,0.0006649983,0.0003707627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.376651,0.0001757465,0.6190044,0.001835894,0.001914087,0.0001695302,0.00000864617,0.000067826,0.000172896],"genre_scores_gemma":[0.9918612,0.0008225291,0.005642556,0.000443688,0.001059795,0.000009860073,0.00009050978,0.00002700481,0.00004287606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6152102,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007604105305276587,"score_gpt":0.226212984630454,"score_spread":0.2186088793251774,"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."}}