{"id":"W3216247524","doi":"10.18280/ts.380512","title":"An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Bandwidth (computing); Wireless sensor network; Quality of service; Wireless; Wireless network; Dynamic bandwidth allocation; Bandwidth allocation; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057062,0.001023581,0.0007389009,0.000683307,0.0004105048,0.00121913,0.002150543,0.001241174,0.002915797],"category_scores_gemma":[0.002941509,0.0003167647,0.0007751686,0.0008795798,0.000808501,0.001873035,0.0009883209,0.001321247,0.0005862561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193196,"about_ca_system_score_gemma":0.0007822426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00341929,"about_ca_topic_score_gemma":0.001818412,"domain_scores_codex":[0.9989529,0.0002862316,0.00003665651,0.0001997013,0.0003485944,0.0001759781],"domain_scores_gemma":[0.9989585,0.000495183,0.0001743472,0.00005513626,0.0002752898,0.00004151913],"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":[0.00004760114,0.00003569345,0.0002509331,0.00008420779,0.0000242993,0.0001084006,0.00008082576,0.9435757,0.002293353,0.04035979,0.0008349159,0.01230422],"study_design_scores_gemma":[0.000004495902,0.00003840511,0.00005505834,0.000005277946,0.000008457831,0.00002899766,0.000008063565,0.9946702,0.0002170196,0.004402299,0.0005559667,0.000005699103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0115511,0.00104421,0.9779149,0.0003088416,0.0001048565,0.00006675811,0.00006228477,0.0001852729,0.008761796],"genre_scores_gemma":[0.9251857,0.001942761,0.05594357,0.0002754145,0.0001581005,0.0003352384,0.0001229663,0.00009612768,0.01594022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00341929,"threshold_uncertainty_score":0.0097543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241077038782862,"score_gpt":0.226899794275329,"score_spread":0.2144890238875004,"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."}}