{"id":"W4386715950","doi":"10.18280/isi.280416","title":"A Comprehensive Survey of Machine Learning Techniques in Next-Generation Wireless Networks and the Internet of Things","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; The Internet; Internet of Things; Wireless network; Wireless; Multimedia; World Wide Web; Computer network; Data science; Telecommunications","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":[0.001414691,0.0001319529,0.0002910478,0.0003133768,0.00008185831,0.0001425233,0.0003676305,0.00009967467,9.767493e-7],"category_scores_gemma":[0.0001773354,0.0001037123,0.00003646511,0.001180373,0.0002374721,0.001678876,0.0002641272,0.0002077227,0.000001395559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004718442,"about_ca_system_score_gemma":0.00002400571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380472,"about_ca_topic_score_gemma":0.0001269238,"domain_scores_codex":[0.9983729,0.0003950772,0.0006815286,0.0001262654,0.0002300438,0.0001941973],"domain_scores_gemma":[0.9984637,0.0004828802,0.0005000872,0.0002217827,0.0003065211,0.00002496949],"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":[0.0001930777,0.0000368961,0.0300874,0.0004034781,0.00006551907,0.000003277733,0.03538756,0.6253821,0.001608501,0.03389739,0.0001507927,0.272784],"study_design_scores_gemma":[0.0003535336,0.00004808802,0.01450918,0.0001555102,0.000002700692,0.000005861395,0.0001483338,0.9820033,0.002514939,0.0001150363,0.00004800739,0.00009550125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338368,0.0001982311,0.3652306,0.0000295529,0.0001209936,0.0002297766,0.000001340375,0.0001363119,0.0002163829],"genre_scores_gemma":[0.997548,0.0002749469,0.001967687,0.00006326818,0.0000126475,0.00002179366,0.00009249937,0.000007080405,0.00001206691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3637112,"threshold_uncertainty_score":0.4229264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748557842570367,"score_gpt":0.2330106597415446,"score_spread":0.2055250813158409,"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."}}