{"id":"W4290043460","doi":"10.1109/access.2022.3186365","title":"A Large-Scale Simulator for NB-IoT","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key (lock); Network packet; Internet of Things; Scale (ratio); Narrowband; Range (aeronautics); Simulation; Computer network; Real-time computing; Embedded system; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007714528,0.0007674909,0.0007289842,0.0003991362,0.000523467,0.0007621624,0.002186954,0.0007381021,0.007234715],"category_scores_gemma":[0.002567494,0.0004218229,0.0006276153,0.0005990549,0.0004206382,0.001046872,0.0009240012,0.0013938,0.001595347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009330218,"about_ca_system_score_gemma":0.001328897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009289062,"about_ca_topic_score_gemma":0.00768603,"domain_scores_codex":[0.999552,0.0001333951,0.00003531925,0.0000613686,0.0001610965,0.00005688684],"domain_scores_gemma":[0.9988028,0.0004866355,0.00005726475,0.000235079,0.0002781088,0.0001401345],"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":[0.0001946303,0.0002017096,0.002882988,0.0001266047,0.00008892537,0.0001125623,0.0001298769,0.9584476,0.006957187,0.008125572,0.01027313,0.01245927],"study_design_scores_gemma":[0.00002834359,0.00002353714,0.0001798579,0.000005218847,0.000006475645,0.00001240195,0.00001336537,0.9905821,0.001465569,0.00100614,0.006667049,0.000009885222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1596403,0.0003964024,0.7365518,0.0006257543,0.0005813263,0.001201864,0.01075914,0.03793925,0.05230412],"genre_scores_gemma":[0.7019734,0.0004468898,0.2679892,0.0003368842,0.0000561359,0.001528632,0.01341843,0.003448513,0.01080188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009289062,"threshold_uncertainty_score":0.02420259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332886328751268,"score_gpt":0.3026555112295984,"score_spread":0.2793266479420857,"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."}}