{"id":"W2042414722","doi":"10.4304/jnw.10.3.141-151","title":"Wi-Fi-based Positioning in a Complex Underground Environment","year":2015,"lang":"en","type":"article","venue":"Journal of Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; Real-time computing; Computer security; Human–computer interaction","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":[0.0001852541,0.00007339215,0.0001349643,0.0001156158,0.00001889857,0.00002544668,0.0001026697,0.00007825096,0.00002525277],"category_scores_gemma":[0.00001209807,0.00006826082,0.00003855432,0.0001171253,0.00002493573,0.00009131734,0.00001158836,0.000219394,0.000004526539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002037006,"about_ca_system_score_gemma":0.00001475482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000204039,"about_ca_topic_score_gemma":0.000004897865,"domain_scores_codex":[0.9993978,0.00001921725,0.000265704,0.00004064329,0.0001398952,0.000136708],"domain_scores_gemma":[0.9997588,0.00002830607,0.00006571888,0.000072791,0.00002407769,0.00005026768],"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":[0.00001161364,0.00001476264,0.00135356,0.000003773227,0.00001063701,0.00003015086,0.00004511543,0.993217,0.0000591597,0.0001777284,0.003661146,0.001415386],"study_design_scores_gemma":[0.001097032,0.000118208,0.003420849,0.00006603628,0.00001253832,0.00004851271,0.0002562452,0.9864677,0.000235914,0.001148708,0.006994294,0.0001339418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05748429,0.0009963765,0.9394118,0.0002721655,0.0002959545,0.0000581391,7.718135e-7,0.00007792331,0.001402618],"genre_scores_gemma":[0.9966875,0.00006150528,0.003028131,0.00008884337,0.0001083699,0.000001027741,0.000003780165,0.00001255336,0.000008333627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9392031,"threshold_uncertainty_score":0.2783596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883959241326816,"score_gpt":0.2149274203378151,"score_spread":0.1860878279245469,"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."}}