{"id":"W2976715550","doi":"10.1109/infcomw.2019.8845189","title":"LoRa-based Localization System for Emergency Services in GPS-less Environments","year":2019,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Global Positioning System; Hybrid positioning system; Computer science; Software deployment; Real-time computing; Location-based service; Precision Lightweight GPS Receiver; Wireless; Assisted GPS; Positioning system; Time to first fix; GPS signals; Embedded system; Telecommunications; Engineering; Gps receiver; Node (physics)","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":[0.00007552955,0.00007974744,0.00009452311,0.00003243627,0.0000130435,0.000009251938,0.00007274965,0.00006097449,0.0001495088],"category_scores_gemma":[2.464742e-7,0.000074713,0.00002351593,0.00007308078,0.000001653492,0.00006491567,0.000006604035,0.00002868653,0.00009832733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004611994,"about_ca_system_score_gemma":0.000002408613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001880267,"about_ca_topic_score_gemma":0.00004083016,"domain_scores_codex":[0.9995305,0.000008793955,0.0001603542,0.00009585213,0.00006401748,0.0001404846],"domain_scores_gemma":[0.999829,0.000009019034,0.00001665225,0.0001192408,0.000004477848,0.00002159909],"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":[0.00001203071,0.00001156208,0.02026705,0.001216458,0.000006615771,3.324438e-7,0.00003797762,0.9763868,0.0003088879,0.0003447881,0.0002443685,0.001163131],"study_design_scores_gemma":[0.0004564927,0.00001916802,0.0009489527,0.00009594299,0.000002619372,8.83745e-8,0.00007026767,0.9851332,0.001693072,0.00002357025,0.0114511,0.0001055099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076266,0.0001477012,0.8663615,0.0000171192,0.001128019,0.01433566,0.00001108137,0.0002825813,0.01008976],"genre_scores_gemma":[0.9978665,0.000003754226,0.0002018992,0.00002219362,0.00005026809,0.001523451,0.00002873161,0.0000225674,0.0002806903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902398,"threshold_uncertainty_score":0.3046708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00773204995152255,"score_gpt":0.20956237931619,"score_spread":0.2018303293646675,"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."}}