{"id":"W2070634111","doi":"","title":"Distributed sensor networks with collective computation","year":2001,"lang":"en","type":"paratext","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"","keywords":"Network packet; Merge (version control); Wireless sensor network; Computer science; Computation; Real-time computing; Node (physics); Sensor node; Computer network; Key distribution in wireless sensor networks; Telecommunications; Wireless; Acoustics; Wireless network; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005777843,0.0008020379,0.001302268,0.000825773,0.00053755,0.0001989554,0.003131469,0.0004608203,0.0003349072],"category_scores_gemma":[0.000008886953,0.001024046,0.0004913466,0.003525863,0.0009731242,0.003483896,0.001681095,0.00084723,0.0004046242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002696939,"about_ca_system_score_gemma":0.0007882119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002729202,"about_ca_topic_score_gemma":0.0007904546,"domain_scores_codex":[0.9963043,0.0002108528,0.0004114213,0.001373675,0.0008712758,0.0008285137],"domain_scores_gemma":[0.9962224,0.0004043944,0.001395414,0.001015285,0.0005025719,0.0004598707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000467714,0.0004393558,0.3313685,0.0001134784,0.0004946702,0.0006153471,0.0000691519,0.580452,1.10598e-8,0.0000757601,0.08158881,0.004315216],"study_design_scores_gemma":[0.002928072,0.001042887,0.7338288,0.0005385188,0.0002605908,0.00006873262,0.00007778792,0.1170827,0.000003312237,0.00001466609,0.1423129,0.001841089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1931291,0.0002326827,0.7540569,0.0002930101,0.0005613705,0.0009692888,0.00433764,0.0005189743,0.04590107],"genre_scores_gemma":[0.7414898,0.001205912,0.02446339,0.0001093119,0.0002307454,1.184816e-7,0.01821243,0.0001687979,0.2141194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7295935,"threshold_uncertainty_score":0.999221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806237400552857,"score_gpt":0.1650633025891999,"score_spread":0.1570009285836714,"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."}}