{"id":"W6119617","doi":"","title":"Determining the robustness of sensor barriers","year":2010,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Robustness (evolution); Wireless sensor network; Computer science; Redundancy (engineering); Topology (electrical circuits); Distributed computing; Real-time computing; Computer network; Mathematics; Combinatorics","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":[0.003113797,0.0009820468,0.00126543,0.001709754,0.0006902263,0.001682048,0.002019427,0.001495391,0.00153002],"category_scores_gemma":[0.04590238,0.0007662662,0.0009051326,0.0008129086,0.002096513,0.003482736,0.003627405,0.001240363,0.0003337535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908393,"about_ca_system_score_gemma":0.0006322354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008767583,"about_ca_topic_score_gemma":0.000410727,"domain_scores_codex":[0.9965025,0.0009737309,0.0002305194,0.0007430111,0.001124466,0.0004257038],"domain_scores_gemma":[0.963424,0.02373796,0.00531985,0.004324064,0.002001185,0.001193029],"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":[0.0006458767,0.00006832235,0.01033243,0.0003287552,0.0001725514,0.000547207,0.0003816803,0.8383718,0.02780251,0.08098471,0.001495698,0.03886852],"study_design_scores_gemma":[0.00003044877,0.0002711603,0.003908918,0.00006828318,0.00004934316,0.0004642891,0.0002676298,0.9075927,0.01183677,0.07301872,0.002432882,0.00005886946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3786013,0.001138859,0.6111173,0.0007108971,0.00007873488,0.00007397382,0.0005719043,0.0005039165,0.007203124],"genre_scores_gemma":[0.9581016,0.0004712299,0.03999307,0.00006136757,0.00004403155,0.00008349428,0.0003476849,0.0001002807,0.0007972298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003113797,"threshold_uncertainty_score":0.01646751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529132608590286,"score_gpt":0.2284664495084178,"score_spread":0.213175123422515,"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."}}