{"id":"W2567568922","doi":"10.1049/iet-com.2016.0853","title":"Design and prototyping of low‐power wide area networks for critical infrastructure monitoring","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Rapid prototyping; Computer science; Power (physics); Critical infrastructure; Embedded system; Engineering; Computer security; Mechanical engineering","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":[0.0005129261,0.0002846474,0.0001518886,0.000221669,0.000195207,0.0003663874,0.0008243659,0.0002594873,0.001984301],"category_scores_gemma":[0.0007092509,0.000136327,0.0001263862,0.00009553764,0.0001644377,0.0004594399,0.0002396085,0.0002320145,0.0003807469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186615,"about_ca_system_score_gemma":0.0003525055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054737,"about_ca_topic_score_gemma":0.000676595,"domain_scores_codex":[0.9996653,0.00009352124,0.00001334468,0.0000431915,0.0001404868,0.0000441951],"domain_scores_gemma":[0.9996687,0.00007067839,0.00005082386,0.0000386412,0.0001371345,0.00003405144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004222926,0.0003133294,0.005468694,0.0007355778,0.00007329186,0.0008651508,0.0006970137,0.1293218,0.6036564,0.02586433,0.005939515,0.2266428],"study_design_scores_gemma":[0.0001492533,0.002184631,0.00452497,0.0000737948,0.00005933001,0.0005922772,0.0001877524,0.6074922,0.3146796,0.002841777,0.06716897,0.00004551828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2267802,0.0004411491,0.7448384,0.0003821213,0.0002526772,0.0007038434,0.0001159938,0.001963864,0.02452181],"genre_scores_gemma":[0.8182811,0.0002014604,0.175391,0.00005721283,0.00002551824,0.0002947594,0.00008242883,0.00005036659,0.005616183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001984301,"threshold_uncertainty_score":0.00663811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921194600581242,"score_gpt":0.2920801982935841,"score_spread":0.2628682522877717,"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."}}