{"id":"W4289351980","doi":"10.18280/rces.090205","title":"Low Power Wide Area Network Technologies: Open Problems, Challenges, and Potential Applications","year":2022,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"LPWAN; Computer science; Wide area network; Software deployment; Emerging technologies; Wireless; Telecommunications; Bandwidth (computing); Power consumption; Computer network; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003339913,0.0001909036,0.0005171767,0.00004470456,0.00009348492,0.00001632439,0.0004024313,0.0000293912,0.000007722569],"category_scores_gemma":[0.000007155001,0.0001805417,0.00005612509,0.0002129058,0.00002555533,0.00006562538,0.0008479526,0.0002038627,0.000001273838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003829113,"about_ca_system_score_gemma":0.00000693217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.821672e-7,"about_ca_topic_score_gemma":2.132761e-7,"domain_scores_codex":[0.9990962,0.00001960774,0.0003335792,0.0001936295,0.0001255257,0.0002314345],"domain_scores_gemma":[0.9994895,0.00008234883,0.00006098064,0.0003001278,0.00004407443,0.00002290215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001863226,0.00003079907,0.000009920434,0.0195381,0.000397716,0.000005122227,0.0001465946,0.8481895,0.000007586392,0.002099291,0.01978942,0.109784],"study_design_scores_gemma":[0.0002996469,0.0001652465,0.0001743173,0.01010361,0.00006465949,0.00003469793,0.00005120062,0.04557476,0.00001413838,0.0006903604,0.9423465,0.0004808536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000383957,0.9199483,0.07292967,0.0003943296,0.0002782918,0.005714878,0.000006724964,0.0004643397,0.0002250689],"genre_scores_gemma":[0.04043171,0.9200724,0.01905967,0.0001535013,0.00016693,0.02001427,0.00001196893,0.00007264018,0.00001695816],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9225571,"threshold_uncertainty_score":0.7362277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240609759685336,"score_gpt":0.2542959785721871,"score_spread":0.2318898809753338,"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."}}