{"id":"W2164942744","doi":"10.1109/hpcs.2006.15","title":"Collaborative Agents for Data Dissemination in Wireless Sensor Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; Acadia University","keywords":"Dissemination; Computer science; Computer network; Layer (electronics); Wireless sensor network; Interface (matter); Distributed computing; Application layer; Telecommunications; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003682317,0.0001668762,0.0001896042,0.0001213671,0.00009854158,0.0001765383,0.001224746,0.0001085892,0.000005873382],"category_scores_gemma":[0.00002504543,0.0001580409,0.00002639333,0.001006896,0.00003711429,0.0005359849,0.0003520502,0.00009929931,0.000005020999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006761179,"about_ca_system_score_gemma":0.00003329088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000965933,"about_ca_topic_score_gemma":0.0005760294,"domain_scores_codex":[0.9983017,0.0000791591,0.0003276998,0.0006530031,0.0002332309,0.0004051604],"domain_scores_gemma":[0.9983203,0.0004049134,0.0001172447,0.0009600165,0.0001483095,0.00004918521],"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":[0.00002580544,0.0003562119,0.003228898,0.00001351618,0.00001485517,0.00002795328,0.0001427071,0.7530484,0.0004049925,0.1603325,0.0486325,0.03377164],"study_design_scores_gemma":[0.0003445317,0.00002151557,0.00234323,0.0000306207,0.000003093384,0.000001816397,0.00002882402,0.9935724,0.0005581069,0.0001214403,0.002774016,0.0002004435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03079179,0.00006703054,0.9648134,0.000480727,0.0004167539,0.0003961271,0.00001288218,0.0001574496,0.002863887],"genre_scores_gemma":[0.9267011,0.00001834647,0.07051328,0.0001146063,0.0001717608,0.00003908763,0.0002970321,0.00001776521,0.002127035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8959093,"threshold_uncertainty_score":0.6444719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439611234954038,"score_gpt":0.2782220848125431,"score_spread":0.2638259724630028,"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."}}