{"id":"W2050795796","doi":"10.1109/chinacom.2008.4685105","title":"RadLoco: A rapid and low cost indoor location-sensing system","year":2008,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"RSS; Computer science; Real-time computing; Wireless sensor network; Kernel (algebra); Indoor positioning system; Radio propagation; Computer network; Telecommunications; Accelerometer","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":[0.00004915377,0.0001113442,0.0001313123,0.0001030605,0.0001115904,0.00002225536,0.00006221484,0.00009690284,0.00001665535],"category_scores_gemma":[0.00002568594,0.0001022246,0.00001773407,0.0002518365,0.00006934706,0.0000891185,0.00002022133,0.00008185198,0.00005449196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005931173,"about_ca_system_score_gemma":0.00001323587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001595898,"about_ca_topic_score_gemma":0.000005811215,"domain_scores_codex":[0.9994563,0.000008571787,0.000163691,0.0001153216,0.00008905741,0.0001670626],"domain_scores_gemma":[0.9996979,0.00002889479,0.0000158943,0.0001623827,0.0000561769,0.00003876116],"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":[0.00009430012,0.0001380599,0.02936722,0.00531834,0.0005796526,0.000608181,0.007624606,0.119472,0.01703145,0.1011636,0.08740118,0.6312014],"study_design_scores_gemma":[0.001773849,0.00004250389,0.004733234,0.0002556886,0.00002649738,0.0007476546,0.002868052,0.7852898,0.1920763,0.00008455048,0.01126532,0.0008365608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3097044,0.001237918,0.6558444,0.000129406,0.0005707815,0.0007008514,0.000005540666,0.006124703,0.02568196],"genre_scores_gemma":[0.998351,0.0001347213,0.001274539,0.00004214066,0.00003587701,0.000007166423,0.000004695133,0.00002105015,0.0001288033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6886466,"threshold_uncertainty_score":0.41686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009659967217846012,"score_gpt":0.1830230378951009,"score_spread":0.1733630706772548,"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."}}