{"id":"W2052010796","doi":"10.1145/1185373.1185396","title":"MESTER","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","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":[0.00004670084,0.0000506308,0.00004470299,0.0000313875,0.00003316953,0.00007330329,0.0003634015,0.00002444268,0.00002386678],"category_scores_gemma":[0.000001234509,0.00004097501,0.00002390297,0.0001710515,0.0000123364,0.0001345363,0.00008428219,0.00003356678,0.0001402135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008726704,"about_ca_system_score_gemma":0.000005835613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004261613,"about_ca_topic_score_gemma":0.00001942042,"domain_scores_codex":[0.9994767,0.00001303259,0.00007952368,0.000159549,0.0001158387,0.0001553757],"domain_scores_gemma":[0.9996137,0.00002436262,0.00001579579,0.0003052957,0.00001875639,0.00002210748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.584268e-7,0.00002919148,0.0005540706,5.721326e-7,0.000001160723,0.000009941858,0.000009369454,0.0361377,0.0003420642,0.9456452,0.01386132,0.003409166],"study_design_scores_gemma":[0.0003224066,0.00003101338,0.008421721,0.000007107001,0.000001905262,0.0000303822,0.000003276104,0.8623771,0.01573218,0.004826361,0.1078917,0.0003548489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01427342,0.00002869756,0.7806652,0.0005654336,0.0001942383,0.00001847449,3.14305e-8,0.0002880893,0.2039664],"genre_scores_gemma":[0.9088068,6.56703e-7,0.08032165,0.0003995471,0.00008543714,0.000001621182,5.793721e-7,0.00000360862,0.01038009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9408188,"threshold_uncertainty_score":0.1802207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003214492544692644,"score_gpt":0.1713517852229282,"score_spread":0.1681372926782356,"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."}}