{"id":"W2030501158","doi":"10.1145/2034832.2034860","title":"Poster","year":2011,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003033066,0.0001901599,0.0002685189,0.0003299285,0.000126453,0.00005103906,0.001883861,0.00007066785,0.0004146968],"category_scores_gemma":[0.001083452,0.0001635895,0.00009709279,0.003260697,0.00003090482,0.0007858232,0.000420576,0.0001770416,0.0006576336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009312888,"about_ca_system_score_gemma":0.000101875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003600216,"about_ca_topic_score_gemma":6.408513e-7,"domain_scores_codex":[0.9974271,0.0002100744,0.0005006843,0.0004471476,0.001073693,0.0003413063],"domain_scores_gemma":[0.9970672,0.0001541718,0.000265775,0.001798207,0.0006098584,0.0001048165],"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":[0.000002257742,0.00009194713,0.003881804,0.0003326765,0.00001826925,0.00000239683,0.0001685319,0.0005874608,0.00001021524,0.002480339,0.004033567,0.9883905],"study_design_scores_gemma":[0.001545607,0.0007013552,0.1014613,0.004823414,0.0003567414,0.0001099185,0.000008809603,0.8148342,0.00386415,0.0008177405,0.06963703,0.001839764],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1609799,0.4719336,0.1809719,0.003448146,0.006110662,0.004941261,0.000003229097,0.001441682,0.1701697],"genre_scores_gemma":[0.8332499,0.09990866,0.06089303,0.005334524,0.0001121147,0.0001667364,0.00001771955,0.00002873876,0.0002885661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865507,"threshold_uncertainty_score":0.8452769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205890812952287,"score_gpt":0.3065277992361794,"score_spread":0.1859387179409507,"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."}}