{"id":"W2103229803","doi":"10.1109/newcas.2010.5603989","title":"Using assertions for wireless system monitoring and debugging","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Debugging; Computer science; TRACE (psycholinguistics); Wireless sensor network; Wireless; Assertion; Wireless network; Embedding; Reduction (mathematics); Embedded system; Distributed computing; Computer network; Programming language; Operating system","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":[0.0001963102,0.0001027803,0.0001135514,0.00007600775,0.0003038121,0.0002160736,0.0003115858,0.00007210285,5.488404e-7],"category_scores_gemma":[0.00001298209,0.00009537105,0.0000343345,0.000177762,0.00002410558,0.0002731199,0.0001225911,0.0001234017,0.000001244397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002622415,"about_ca_system_score_gemma":0.0000244373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003890012,"about_ca_topic_score_gemma":0.00001724369,"domain_scores_codex":[0.999137,0.0000158718,0.0001515515,0.0003020348,0.0001210001,0.0002725219],"domain_scores_gemma":[0.9992886,0.0001496407,0.00005279871,0.0003378193,0.00008002573,0.00009117258],"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":[0.000003942088,0.00004627851,0.007751666,0.00008828999,0.00003128907,0.000008705636,0.0002960189,0.0497019,0.2639749,0.6538548,0.00003671295,0.02420542],"study_design_scores_gemma":[0.000130941,0.000008122755,0.0004795629,0.00004223026,0.000006070207,0.00003340163,0.00005227569,0.9789854,0.01998121,0.0000410118,0.0001120099,0.0001277143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4434266,0.00001694347,0.5548947,0.00004326778,0.0008841525,0.00007172873,2.007508e-7,0.0002732933,0.0003891062],"genre_scores_gemma":[0.7324639,8.854009e-7,0.2672913,0.000007909649,0.0001651578,0.000009842088,2.314492e-7,0.000009368302,0.00005145439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9292836,"threshold_uncertainty_score":0.3889118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793231558447895,"score_gpt":0.2748431380248646,"score_spread":0.2469108224403856,"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."}}