{"id":"W2072747401","doi":"10.1109/wivec.2014.6953270","title":"Wireless sensor network-assisted, autonomous mapping with information-theoretic utility","year":2014,"lang":"en","type":"article","venue":"","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Flooding (psychology); Key distribution in wireless sensor networks; Node (physics); Wireless; Real-time computing; Wireless network; Distributed computing; Telecommunications; Engineering","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":[0.001087184,0.000794381,0.0006784287,0.0004590483,0.0004216243,0.0006235833,0.001115594,0.0006464395,0.0005992308],"category_scores_gemma":[0.003892685,0.0004021282,0.0003522129,0.0006916404,0.001048964,0.001679001,0.00144569,0.0006093543,0.0001830279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330714,"about_ca_system_score_gemma":0.0009688695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206867,"about_ca_topic_score_gemma":0.00228524,"domain_scores_codex":[0.9995468,0.000191279,0.00001657111,0.00006018407,0.0001385908,0.00004658006],"domain_scores_gemma":[0.9987561,0.0007497817,0.0001713311,0.0001287975,0.0001465199,0.0000475247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003631569,0.00001808197,0.0002480586,0.00002986566,0.00001169046,0.00004433175,0.00003256891,0.9790064,0.001663363,0.009514788,0.000154297,0.009240348],"study_design_scores_gemma":[0.000005544675,0.00002326572,0.00006728905,0.000002125478,0.000003032233,0.00001398672,0.000006889386,0.9941236,0.000401199,0.005160589,0.0001888486,0.000003715836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0534303,0.0003130801,0.9420007,0.0002587158,0.00002542886,0.00006389731,0.00004263385,0.000222731,0.003642501],"genre_scores_gemma":[0.9192727,0.0001591771,0.07874091,0.00003462438,0.00001915277,0.0001033387,0.0000359033,0.0000238356,0.001610348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002206867,"threshold_uncertainty_score":0.005749643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035429184648363,"score_gpt":0.1865793166343626,"score_spread":0.1762250247878789,"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."}}