{"id":"W2002533410","doi":"10.1109/mdm.2007.35","title":"On Join Location in Sensor Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Join (topology); Computer science; Wireless sensor network; Set (abstract data type); Node (physics); Process (computing); Distributed computing; Query optimization; Data mining; Computer network","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":[0.004593765,0.001688609,0.002605493,0.00165668,0.001621521,0.003012373,0.002618057,0.002947625,0.00249865],"category_scores_gemma":[0.01829303,0.0006233749,0.0008684641,0.00361387,0.002546707,0.007844242,0.002861603,0.002006568,0.0009503541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247687,"about_ca_system_score_gemma":0.0009987882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109284,"about_ca_topic_score_gemma":0.001490684,"domain_scores_codex":[0.995407,0.001947852,0.0002384657,0.0005845735,0.001462098,0.0003599582],"domain_scores_gemma":[0.9895951,0.008039238,0.000653104,0.0007253809,0.0006955807,0.0002915755],"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":[0.001038181,0.0001969729,0.002874102,0.0007414216,0.0001841875,0.0004266324,0.0007717744,0.64025,0.004867089,0.186887,0.01011139,0.1516514],"study_design_scores_gemma":[0.00007225571,0.0003366999,0.0003076346,0.00005526397,0.00005791354,0.00029967,0.0001818528,0.8929968,0.002065725,0.09568269,0.007905512,0.00003809679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02797345,0.006723969,0.9575377,0.001990163,0.0003952248,0.0001674064,0.0001284895,0.0003829255,0.00470069],"genre_scores_gemma":[0.6555051,0.01767072,0.3112356,0.001259925,0.002447169,0.0006678493,0.0007965647,0.0004424133,0.009974741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004593765,"threshold_uncertainty_score":0.02429444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009042990686261047,"score_gpt":0.2271698035670149,"score_spread":0.2181268128807538,"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."}}