{"id":"W2058513528","doi":"10.1007/s11227-009-0321-6","title":"Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Computer network; Routing (electronic design automation); Geographic routing; Real-time computing; Path (computing); Node (physics); Transmission (telecommunications); Context (archaeology); Routing protocol; Distributed computing; Dynamic Source Routing; Telecommunications","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":[0.0006951937,0.0004940554,0.0008017516,0.0003871862,0.0003798586,0.0005725542,0.0007125974,0.0003617478,0.0005635741],"category_scores_gemma":[0.002179257,0.0002638625,0.0001677863,0.0004530045,0.0002484558,0.0007410068,0.0006382056,0.0005734903,0.00008597433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223855,"about_ca_system_score_gemma":0.0005572206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156458,"about_ca_topic_score_gemma":0.005536029,"domain_scores_codex":[0.9996586,0.00008175844,0.00002450352,0.0000622548,0.000113037,0.00005980777],"domain_scores_gemma":[0.9991816,0.0004221218,0.00007251169,0.00007153948,0.0001934219,0.00005880044],"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":[0.001153383,0.0004518146,0.003767469,0.0002233431,0.0001473217,0.0002894655,0.0002105242,0.598253,0.1007255,0.007293597,0.004226096,0.2832584],"study_design_scores_gemma":[0.0000101741,0.00005641016,0.0004627391,0.000003465855,0.00001894283,0.00004046093,0.00002422278,0.9931681,0.004988723,0.0009216874,0.000299275,0.000005786225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4278509,0.006035019,0.5606955,0.0005581583,0.0003945577,0.00007857228,0.0001569802,0.0008818824,0.00334842],"genre_scores_gemma":[0.9730734,0.0003725773,0.02567451,0.0000592988,0.00009917488,0.00001696171,0.0000632191,0.00003149543,0.0006092929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002156458,"threshold_uncertainty_score":0.004287779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528655477426986,"score_gpt":0.2585850917082789,"score_spread":0.243298536934009,"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."}}