{"id":"W3092433862","doi":"10.1109/pimrc48278.2020.9217220","title":"High Reliability in LoRaWAN","year":2020,"lang":"en","type":"preprint","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Emulation; Reliability (semiconductor); Computer science; Channel (broadcasting); Network packet; Telecommunications link; Protocol (science); Computer network; Real-time computing","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":[0.000134914,0.0001721965,0.0002699188,0.00003024583,0.00000711868,0.00003634067,0.0001999149,0.0002625903,0.0003823137],"category_scores_gemma":[0.0000127614,0.0001655553,0.00006034248,0.00008575883,0.00001074864,0.00002215128,0.0002220355,0.0007738233,0.0001023604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008275633,"about_ca_system_score_gemma":0.00002371333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773127,"about_ca_topic_score_gemma":0.00005756846,"domain_scores_codex":[0.9992344,0.0000218158,0.0002476776,0.0002401857,0.0000833644,0.000172507],"domain_scores_gemma":[0.9995361,0.00002675222,0.00001542471,0.0003536635,0.00001198779,0.00005609557],"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":[0.000009641222,0.00001115765,0.000802318,0.0006551039,0.00001258444,0.00001451679,0.00009182084,0.9730024,0.00002038498,0.0009978422,0.02006626,0.004315989],"study_design_scores_gemma":[0.0008183752,0.00006047772,0.01391167,0.0005809819,0.00001748135,0.000001254845,0.00001521625,0.7183775,0.001982007,0.1520972,0.1106969,0.001440882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2196104,0.0009511901,0.1408296,0.007519681,0.01369559,0.08512088,0.0001524874,0.009642469,0.5224777],"genre_scores_gemma":[0.9907494,0.00002872089,0.005420946,0.0001137683,0.0004703344,0.003007238,0.00003434768,0.0000427458,0.0001324511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.771139,"threshold_uncertainty_score":0.6751148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698479584698561,"score_gpt":0.2392408917242305,"score_spread":0.2222560958772448,"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."}}