{"id":"W1972890144","doi":"10.1007/s11633-007-0315-x","title":"New distributed positioning algorithm based on centroid of circular belt for wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"International Journal of Automation and Computing","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Node (physics); Wireless sensor network; Centroid; Algorithm; Computer science; Wireless; Key distribution in wireless sensor networks; Range (aeronautics); Position (finance); Wireless network; Computer network; Engineering; Artificial intelligence; Telecommunications","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":[0.0005956633,0.0009617136,0.001388431,0.001460213,0.0008624397,0.0008269992,0.002340129,0.0009513044,0.001619829],"category_scores_gemma":[0.001585705,0.0003884729,0.0005557013,0.00209425,0.000419859,0.001606851,0.0009918691,0.0008019281,0.0007172454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008105641,"about_ca_system_score_gemma":0.001051222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794228,"about_ca_topic_score_gemma":0.00276381,"domain_scores_codex":[0.9991795,0.0001592827,0.0000479809,0.0002508759,0.0003056815,0.00005665724],"domain_scores_gemma":[0.99935,0.0001014364,0.00007387248,0.00009552702,0.0003460985,0.00003308064],"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":[0.000640742,0.0001300536,0.002019197,0.0002933753,0.0001615673,0.0001903138,0.0003049113,0.1148235,0.04870188,0.01927157,0.01115465,0.8023083],"study_design_scores_gemma":[0.0001394235,0.0003010287,0.001254342,0.00002262625,0.00008487407,0.000378189,0.0000946287,0.9595634,0.02045362,0.003948986,0.01369116,0.00006775171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006561613,0.0005921736,0.9908639,0.00009157238,0.0002297609,0.00003804954,0.00003687048,0.0007414077,0.0008447209],"genre_scores_gemma":[0.2339801,0.0009205227,0.7592677,0.0001062787,0.0002388147,0.0002608487,0.0003864937,0.00009552911,0.00474373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003794228,"threshold_uncertainty_score":0.007544279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004393757609749954,"score_gpt":0.2275844972358729,"score_spread":0.223190739626123,"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."}}