{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593972,0.0005094419,0.000523055,0.0006135079,0.0007105526,0.0008680521,0.0009514644,0.0003533064,0.0007688803],"category_scores_gemma":[0.006181988,0.0003502247,0.0002751451,0.0004629242,0.0007451827,0.001342262,0.001210328,0.0007059079,0.0003918434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713695,"about_ca_system_score_gemma":0.0007098453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845186,"about_ca_topic_score_gemma":0.001790067,"domain_scores_codex":[0.9985666,0.0005143433,0.00005948501,0.0001690954,0.0004968958,0.0001935871],"domain_scores_gemma":[0.9969831,0.001174419,0.0003497722,0.0005053068,0.0008865824,0.0001007126],"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":[0.0006406718,0.0001281846,0.008304829,0.000636441,0.0001606435,0.0007911792,0.001014564,0.6592752,0.05523126,0.0685783,0.00353367,0.201705],"study_design_scores_gemma":[0.00006453056,0.0004520131,0.002313739,0.00006113425,0.0001211139,0.0009049832,0.0003053376,0.914251,0.03313112,0.03261299,0.01570033,0.0000816588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2465631,0.002172143,0.7386267,0.00055758,0.0001779482,0.0001041098,0.0000574091,0.001334815,0.01040621],"genre_scores_gemma":[0.9564183,0.0004051402,0.04133336,0.00006496083,0.0000587644,0.00004892575,0.00003710284,0.00007555549,0.001558024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001845186,"threshold_uncertainty_score":0.008429885,"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."}}