{"id":"W1500765646","doi":"10.1002/sec.877","title":"Mechanisms to locate noncooperative transmitters in wireless networks based on residual signal strengths","year":2013,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Transmitter; Computer science; Residual; Bounding overwatch; Position (finance); Algorithm; SIGNAL (programming language); Transmitter power output; Set (abstract data type); Wireless sensor network; Telecommunications; Mathematical optimization; Artificial intelligence; Computer network; Mathematics","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":[0.0001899171,0.0001864597,0.0001933789,0.0001283543,0.0001372895,0.00008783891,0.0003323586,0.0002198304,0.0000633717],"category_scores_gemma":[0.00000887298,0.0001890515,0.00002666228,0.000388431,0.00007119433,0.0001385615,0.00005309734,0.0005049609,0.000009912186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006025504,"about_ca_system_score_gemma":0.00001084837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000869278,"about_ca_topic_score_gemma":0.000380614,"domain_scores_codex":[0.9990551,0.0001229243,0.0002625317,0.0001776622,0.0001084264,0.0002733214],"domain_scores_gemma":[0.9992257,0.0001945163,0.00002743245,0.0004244352,0.00005471185,0.00007322129],"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":[0.00002014185,0.00003865498,0.00006037663,0.00001170862,0.00001058423,9.26955e-7,0.0007392503,0.9677863,0.000045153,0.006841721,0.000803641,0.02364151],"study_design_scores_gemma":[0.0004014391,0.00007515912,0.0004081283,0.0001077962,0.000005232757,4.985817e-7,0.0005256639,0.9959784,0.0008780129,0.001239607,0.0001550209,0.0002250873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1405419,0.0007266302,0.8525856,0.002119299,0.0001351296,0.0009622339,0.000008261762,0.0006952937,0.00222566],"genre_scores_gemma":[0.9977286,0.000540478,0.000694786,0.0007796652,0.00001925129,0.0001493146,0.00005676716,0.00002452521,0.000006605354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8571867,"threshold_uncertainty_score":0.7709296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005577588613289634,"score_gpt":0.1969760233800704,"score_spread":0.1913984347667808,"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."}}