{"id":"W2798760221","doi":"","title":"A Test-Bed for Localization and Tracking in Wireless Sensor Networks.","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Wireless sensor network; Computer science; Tracking (education); Wireless; Test (biology); Key distribution in wireless sensor networks; Wireless network; Computer network; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0000589371,0.00007793315,0.0001014463,0.00007684754,0.00003733884,0.00002511456,0.00004524863,0.00009481959,0.00000582874],"category_scores_gemma":[0.0000565006,0.00008008968,0.00001456154,0.0001760939,0.00001630787,0.00006777811,0.000004656516,0.00006161311,7.630121e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002496438,"about_ca_system_score_gemma":0.00000302982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.47819e-7,"about_ca_topic_score_gemma":0.000007532922,"domain_scores_codex":[0.9995708,0.000004227843,0.0001276497,0.00009387974,0.0000423826,0.0001609903],"domain_scores_gemma":[0.9998205,0.00005352534,0.00001252811,0.00007330438,0.00002256901,0.00001752239],"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":[0.00003668592,0.00007942203,0.01547706,0.0001754032,0.00001647214,0.00001512787,0.0007902443,0.3615741,0.04337223,0.02294548,0.002524072,0.5529937],"study_design_scores_gemma":[0.0004013296,0.00003621989,0.001596146,0.0000327812,0.00000412891,0.000002708591,0.00006937488,0.9763743,0.01744677,0.003384411,0.0005298397,0.0001219468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1107663,0.000124231,0.8859881,0.0001703441,0.00009557962,0.0003085305,0.000003915841,0.0007049817,0.00183811],"genre_scores_gemma":[0.9978908,0.00009124418,0.001841578,0.0000919021,0.00003417387,0.0000120298,0.000007718249,0.0000128774,0.00001767015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8871245,"threshold_uncertainty_score":0.3265963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008724487538851914,"score_gpt":0.2218289332238148,"score_spread":0.2131044456849629,"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."}}