{"id":"W2141828101","doi":"10.1109/icccn.2005.1523938","title":"Directed position estimation: a recursive localization approach for wireless sensor networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Position (finance); Wireless; Estimation; Wireless network; Real-time computing; Computer network; 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":[0.0006834636,0.0007040265,0.0006681758,0.001082845,0.0004019302,0.0006971861,0.001560849,0.0007595218,0.001072326],"category_scores_gemma":[0.002580921,0.0003405363,0.0006283518,0.00109772,0.0005221462,0.001148625,0.001130165,0.0007028463,0.0008396659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005247784,"about_ca_system_score_gemma":0.0007191031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986867,"about_ca_topic_score_gemma":0.004943959,"domain_scores_codex":[0.9993334,0.0002104965,0.00004055787,0.0001498846,0.0002161099,0.00004955057],"domain_scores_gemma":[0.9993635,0.0002326767,0.00008224553,0.0001333853,0.0001665578,0.00002173118],"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":[0.0000909319,0.00005158553,0.00118553,0.0002298289,0.000087816,0.0002558194,0.0004653598,0.377798,0.02281942,0.07399729,0.003563654,0.5194548],"study_design_scores_gemma":[0.00001440799,0.00007784261,0.0003341164,0.00002467383,0.00003977693,0.000222879,0.00004198774,0.9606526,0.00567111,0.02064164,0.01224094,0.0000379219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009647382,0.0001153255,0.9983776,0.00002643187,0.00001045474,0.0000105445,0.000009254386,0.000181093,0.0003045891],"genre_scores_gemma":[0.154284,0.0009266543,0.8406335,0.0001081843,0.00009787069,0.000146425,0.0002019199,0.0001340042,0.003467482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003986867,"threshold_uncertainty_score":0.007927299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315829793029735,"score_gpt":0.1938575276768892,"score_spread":0.1885416978838595,"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."}}