{"id":"W1993083063","doi":"10.1109/glocom.2013.6831117","title":"Optimum power and rate allocation in video sensor networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Sensor node; Real-time computing; Network packet; Minification; Energy consumption; Transmission (telecommunications); Node (physics); Channel (broadcasting); Power (physics); Resource allocation; Computer network; Data compression; Wireless; Wireless network; Algorithm; Engineering; Telecommunications; Electrical engineering","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":[0.001349586,0.00089603,0.0009884919,0.0006434467,0.0004029346,0.001107158,0.0008632804,0.0008902111,0.001323765],"category_scores_gemma":[0.00522566,0.0006006563,0.0002991993,0.0009898433,0.0009866703,0.001740366,0.0008049488,0.0006089503,0.0003177771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335621,"about_ca_system_score_gemma":0.0008422237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052686,"about_ca_topic_score_gemma":0.002123851,"domain_scores_codex":[0.9990749,0.0004262341,0.00002974864,0.0001166013,0.0002464005,0.0001059693],"domain_scores_gemma":[0.998906,0.0008048418,0.00009433777,0.00003813644,0.0001279251,0.00002875016],"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":[0.00007459677,0.00002698466,0.0001674948,0.00007541947,0.00001183025,0.00005038044,0.00006384769,0.9444579,0.003319034,0.024778,0.0006555155,0.02631892],"study_design_scores_gemma":[0.0000105067,0.00002073462,0.00004827853,0.000006224918,0.000003021854,0.00001792324,0.00001286208,0.9903299,0.0007342435,0.008429125,0.0003817894,0.000005354187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02186031,0.001580126,0.9711133,0.0002658794,0.00003835547,0.00004954911,0.00003641528,0.0001228333,0.00493318],"genre_scores_gemma":[0.7808487,0.002519198,0.2100363,0.000142037,0.00008763071,0.0001522765,0.00007874675,0.0001518701,0.005983321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002052686,"threshold_uncertainty_score":0.009690642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006664692558301898,"score_gpt":0.2033951509445254,"score_spread":0.1967304583862235,"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."}}