{"id":"W2031393528","doi":"10.1117/12.694899","title":"Issues in resource management with applications to real-world problems","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Royal Military College of Canada; Lockheed Martin (Canada)","funders":"McMaster University","keywords":"Resource management (computing); Computer science; Wireless sensor network; Resource (disambiguation); Network management; Sensor web; Distributed management; Knowledge management; Distributed computing; Computer network; Key distribution in wireless sensor networks; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01262008,0.001761756,0.002198812,0.002259387,0.002352579,0.008087822,0.003733526,0.004952289,0.0127223],"category_scores_gemma":[0.05190556,0.0009143522,0.001228646,0.006292397,0.007666814,0.01440689,0.003559009,0.006532385,0.001351006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003496037,"about_ca_system_score_gemma":0.001892475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336092,"about_ca_topic_score_gemma":0.002426996,"domain_scores_codex":[0.9941249,0.003243864,0.0003610589,0.0006723554,0.001244545,0.0003532411],"domain_scores_gemma":[0.9507319,0.04235964,0.001575178,0.00156455,0.002985648,0.0007831847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003251728,0.00006001286,0.0004385101,0.0002516293,0.00003754492,0.0001748404,0.0001491001,0.06562443,0.0001441811,0.8802522,0.01620171,0.03663337],"study_design_scores_gemma":[0.0000127769,0.00001622817,0.0001748039,0.0000781441,0.00001036254,0.0001044882,0.0001797639,0.1622327,0.0001094879,0.822525,0.01453,0.00002615997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005800014,0.01542594,0.9127277,0.03934751,0.00217719,0.0001182256,0.0001987983,0.0002148389,0.02398982],"genre_scores_gemma":[0.5286999,0.03760393,0.3826316,0.005206455,0.01492937,0.00139492,0.0004798701,0.0006270172,0.02842693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0127223,"threshold_uncertainty_score":0.06674212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008231016407660923,"score_gpt":0.2236876144320234,"score_spread":0.2154565980243625,"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."}}