{"id":"W2766947607","doi":"10.21553/rev-jec.158","title":"An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Networks","year":2017,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Boundary (topology); Network topology; Computer science; Algorithm; Wireless sensor network; Process (computing); Distributed algorithm; Synchronization (alternating current); Topology (electrical circuits); Mathematics; Distributed computing; Computer network","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005947754,0.0001436135,0.0001979449,0.00006678299,0.002566933,0.001329934,0.001271511,0.00009447619,4.970691e-7],"category_scores_gemma":[0.00005470993,0.0001350714,0.0000623627,0.0000811628,0.00009587951,0.0006257649,0.0001507557,0.0004609446,7.101994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506643,"about_ca_system_score_gemma":0.0001105437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117478,"about_ca_topic_score_gemma":0.00009304986,"domain_scores_codex":[0.9988343,0.0001751329,0.0003231021,0.0002328809,0.0001346088,0.0003000159],"domain_scores_gemma":[0.9972861,0.0001472756,0.0004744997,0.001679235,0.0002462824,0.0001666534],"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":[0.00001395167,0.0002495129,0.00008335942,0.000005127299,0.00006626971,9.943178e-7,0.00005106508,0.0003565231,0.0008050674,0.008363185,0.00005789946,0.989947],"study_design_scores_gemma":[0.0007708943,0.0005459429,0.003041607,0.00003459506,0.00003181498,0.000126456,0.00003629229,0.9406384,0.00004721021,0.001553929,0.05301885,0.0001540475],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008922841,0.006195385,0.9823332,0.001839245,0.0001466829,0.000409914,0.00007868237,0.00005103193,0.00002300065],"genre_scores_gemma":[0.9703334,0.009726625,0.01945685,0.00009079288,0.0001480388,0.00008507018,0.0001184857,0.0000145294,0.0000261875],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.989793,"threshold_uncertainty_score":0.9997068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768065265657025,"score_gpt":0.304428973658263,"score_spread":0.2767483210016927,"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."}}