{"id":"W1522522675","doi":"10.1002/9780470570517.ch2","title":"Energy‐Efficient Backbones and Broadcasting in Sensor and Actuator Networks","year":2010,"lang":"en","type":"other","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Broadcasting (networking); Actuator; Computer science; Energy (signal processing); Computer network; Wireless sensor network; Telecommunications; Physics; Artificial intelligence","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":[0.0002421896,0.0002779909,0.0002695778,0.0006646227,0.0003184446,0.001021071,0.0005380446,0.0004857213,0.008168161],"category_scores_gemma":[0.0004104089,0.0002400489,0.000197038,0.001587292,0.0004157244,0.001540865,0.0004045715,0.0006045241,0.00199625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599226,"about_ca_system_score_gemma":0.0004024252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467573,"about_ca_topic_score_gemma":0.002153675,"domain_scores_codex":[0.9998574,0.00002289476,0.000007495354,0.0000192986,0.00008088354,0.00001187526],"domain_scores_gemma":[0.9998918,0.00005376312,0.000007684686,0.0000105039,0.00002928193,0.000007068104],"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":[0.00003748355,0.00004602104,0.0002387076,0.0006470308,0.00001978553,0.00007496872,0.0001801661,0.02604015,0.008136556,0.3682361,0.06195928,0.5343838],"study_design_scores_gemma":[0.00001801674,0.0000737008,0.0006790831,0.0002442092,0.00002335968,0.0002835338,0.0001328956,0.07383097,0.004626645,0.1316586,0.7884023,0.00002670376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01011228,0.08441347,0.7125428,0.003797449,0.002949346,0.0002388654,0.0004869285,0.001740302,0.1837185],"genre_scores_gemma":[0.1469512,0.194269,0.3786448,0.001583072,0.00330343,0.0004028835,0.001211964,0.0005604924,0.273073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008168161,"threshold_uncertainty_score":0.02732521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006613942010588372,"score_gpt":0.2050683911823158,"score_spread":0.1984544491717275,"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."}}