{"id":"W4386952985","doi":"10.1109/ccta54093.2023.10253406","title":"An Interoperable Coverage Model for Field Sensor Networks Deployment","year":2023,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Wireless sensor network; Computer science; Software deployment; Voronoi diagram; Distributed computing; Interoperability; Measure (data warehouse); Closeness; Field (mathematics); Real-time computing; Data mining; Computer network; Mathematics","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":[0.001273876,0.0008500743,0.0005490279,0.0009650054,0.0003998187,0.00118724,0.001833596,0.001246002,0.001550039],"category_scores_gemma":[0.003738571,0.0003248958,0.0006476278,0.001217405,0.001003506,0.002491195,0.001464417,0.0009934566,0.0003216664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364853,"about_ca_system_score_gemma":0.0005447652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377213,"about_ca_topic_score_gemma":0.001863777,"domain_scores_codex":[0.9987327,0.0004456543,0.00005082594,0.0002335522,0.0004186216,0.0001186342],"domain_scores_gemma":[0.9990508,0.00046489,0.0001322262,0.0001323532,0.0001674805,0.00005234618],"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":[0.00002010921,0.00001423272,0.0002646304,0.00002933031,0.000008288447,0.00006504036,0.00007636903,0.912605,0.0012296,0.07343953,0.0008495055,0.0113984],"study_design_scores_gemma":[0.000001603941,0.00001217249,0.00005136247,0.000002519905,0.000001776631,0.00002112558,0.000009213114,0.9910939,0.0001241264,0.008110624,0.0005686433,0.000002880856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006188281,0.0001463283,0.9903674,0.0001490712,0.00001525911,0.00002046808,0.0000567854,0.0001021972,0.00295421],"genre_scores_gemma":[0.8534163,0.0007503773,0.138499,0.0001526215,0.00008338709,0.0002840052,0.0003582997,0.0001436334,0.006312411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003377213,"threshold_uncertainty_score":0.009902775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642725976100998,"score_gpt":0.2433430451822035,"score_spread":0.2269157854211936,"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."}}