{"id":"W2078432885","doi":"10.2316/journal.201.2010.1.201-2167","title":"SENSOR GRAPHS FOR GUARANTEED COOPERATIVE LOCALIZATION PERFORMANCE","year":2010,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001807012,0.001209148,0.000942246,0.0009432551,0.0006621785,0.001334639,0.001295383,0.001319217,0.002202429],"category_scores_gemma":[0.01583712,0.000518323,0.0004622822,0.00119263,0.001442291,0.002778967,0.002306345,0.001456328,0.0005816738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140377,"about_ca_system_score_gemma":0.001115119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412831,"about_ca_topic_score_gemma":0.00102855,"domain_scores_codex":[0.9981884,0.0005818281,0.00007926793,0.0003797266,0.0005588885,0.0002118694],"domain_scores_gemma":[0.9890599,0.007225165,0.001132034,0.001259592,0.0009882285,0.0003350365],"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":[0.0002403653,0.00004807885,0.0005110778,0.0001334807,0.0000338306,0.0001814534,0.0001418901,0.7855641,0.003949314,0.1711128,0.002416816,0.03566683],"study_design_scores_gemma":[0.00002828297,0.00009738796,0.0002750701,0.00001922,0.000009751188,0.0000732523,0.00002935869,0.8476446,0.001434998,0.1487946,0.001575819,0.00001762475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03823658,0.0003491112,0.9558746,0.0004033282,0.00004893894,0.00004658311,0.0001451176,0.0008072262,0.004088474],"genre_scores_gemma":[0.9255697,0.0005107604,0.07068793,0.0001872043,0.00006555838,0.0002037452,0.0002619294,0.0001591238,0.002354068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002202429,"threshold_uncertainty_score":0.009556532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007601705999963265,"score_gpt":0.2034634874034615,"score_spread":0.1958617814034983,"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."}}