{"id":"W1497647118","doi":"10.1109/ccece.2015.7129304","title":"An efficient algorithm for localization using RSSI based on ZigBee","year":2015,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Algorithm; Embedded system; Computer network; Real-time computing","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":[0.0003838681,0.0008114302,0.0008072262,0.001321446,0.00056631,0.0006288952,0.001069543,0.0007173363,0.001668894],"category_scores_gemma":[0.0007692875,0.0003809527,0.0004939811,0.001267709,0.0003626884,0.001272339,0.0006467612,0.0006415652,0.001539807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777758,"about_ca_system_score_gemma":0.0005907068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517214,"about_ca_topic_score_gemma":0.001684079,"domain_scores_codex":[0.9993693,0.00009231149,0.00005090734,0.0001362586,0.0003077798,0.00004348617],"domain_scores_gemma":[0.9996489,0.0000578517,0.00004005069,0.00005171169,0.0001900103,0.00001155616],"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":[0.000153214,0.00007750495,0.002036003,0.0003425621,0.0001180002,0.0002093037,0.0001456694,0.05211142,0.0455534,0.01085635,0.006625378,0.8817711],"study_design_scores_gemma":[0.0001736579,0.0003600823,0.003718654,0.00009958677,0.000157025,0.001772341,0.0001708755,0.8288728,0.08371282,0.009902268,0.0708736,0.0001862898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001947269,0.000231516,0.9958379,0.00004485776,0.00006014236,0.00003286142,0.00002306894,0.001103754,0.0007185561],"genre_scores_gemma":[0.1261785,0.0009313402,0.8657616,0.0001221916,0.00009481012,0.0002194611,0.0003972333,0.0001650106,0.006129936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001668894,"threshold_uncertainty_score":0.005583048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751451954395285,"score_gpt":0.2630934101302591,"score_spread":0.2355788905863062,"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."}}