{"id":"W2050219201","doi":"10.1109/wcnc.2012.6214095","title":"Distance based heuristic for power and rate allocation of video sensor networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Encoding (memory); Heuristic; Real-time computing; Wireless sensor network; Coding (social sciences); Transmission (telecommunications); Power (physics); Computer network; Artificial intelligence; Telecommunications; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004065247,0.000119023,0.0001539527,0.00004577656,0.00006601844,0.00003953911,0.000225184,0.0000622322,0.000006365988],"category_scores_gemma":[0.00006012234,0.0001044262,0.00004223366,0.0002132642,0.00005690277,0.0002177121,0.0000535901,0.00005521014,0.000001765806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001795046,"about_ca_system_score_gemma":0.00001405295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007137689,"about_ca_topic_score_gemma":0.000005256117,"domain_scores_codex":[0.9990289,0.00006610424,0.000221282,0.000237103,0.0001171743,0.0003294158],"domain_scores_gemma":[0.9987773,0.0005122444,0.0001146848,0.0003813715,0.0001094358,0.0001049619],"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":[0.00006060219,0.0002199571,0.004233801,0.00005720744,0.00002549373,0.000001164366,0.0002481668,0.7114797,0.001210903,0.2744575,0.001751935,0.006253615],"study_design_scores_gemma":[0.0003074604,0.00005613517,0.004178137,0.00002223705,0.000006717165,0.000001473771,0.000009521404,0.9919652,0.001662386,0.0000560569,0.001593987,0.0001406574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02073011,0.0003177988,0.977479,0.0002585807,0.0003884315,0.0001720232,0.000001111842,0.00008162232,0.0005713585],"genre_scores_gemma":[0.9162679,0.000007151477,0.08308461,0.0003112522,0.0000606119,0.00001463531,0.000004118672,0.00001080886,0.0002389288],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8955378,"threshold_uncertainty_score":0.4258378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009642988082946235,"score_gpt":0.2244702995110727,"score_spread":0.2148273114281265,"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."}}