{"id":"W1981364162","doi":"10.1109/mobhoc.2006.278623","title":"Design and Implementation of a Sensor Network Based Location Determination Service for use in Home Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Middleware (distributed applications); Computer science; Context (archaeology); Wireless sensor network; Component (thermodynamics); Service (business); Home automation; Ubiquitous computing; Embedded system; Location-based service; Real-time computing; Scheme (mathematics); Computer network; Distributed computing; Telecommunications; Operating system","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":[0.0007784802,0.0003361925,0.0004669609,0.000387798,0.0005285544,0.001081925,0.001484679,0.0005756028,0.002306346],"category_scores_gemma":[0.001324041,0.0003520669,0.000203505,0.0004120599,0.0003072857,0.0007942754,0.0005774953,0.0005869843,0.001041315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524635,"about_ca_system_score_gemma":0.001311223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003410845,"about_ca_topic_score_gemma":0.002716707,"domain_scores_codex":[0.9993647,0.00009001904,0.00005289848,0.00009040413,0.000313303,0.00008874082],"domain_scores_gemma":[0.99936,0.00006196172,0.00004401339,0.00009357055,0.0003507775,0.00008981702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0015023,0.0009556763,0.01414404,0.0008126087,0.0002072643,0.001408253,0.001483019,0.06921493,0.3082427,0.04261464,0.03483314,0.5245814],"study_design_scores_gemma":[0.0002339043,0.0008338895,0.004518742,0.00005811682,0.0001249963,0.0008039645,0.000392113,0.6717168,0.205226,0.003239572,0.1127674,0.00008440277],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07917736,0.0002886594,0.888306,0.000603168,0.0001604198,0.001153386,0.0002080945,0.01886106,0.01124187],"genre_scores_gemma":[0.6405356,0.0002712545,0.3466175,0.0003344507,0.00005293913,0.0006061406,0.0007366095,0.0004611409,0.01038433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003410845,"threshold_uncertainty_score":0.007715464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311843037508797,"score_gpt":0.2324194010157164,"score_spread":0.2193009706406285,"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."}}