{"id":"W1557150794","doi":"10.1002/9780470570517.ch5","title":"Multicasting, Geocasting, and Anycasting in Sensor and Actuator Networks","year":2010,"lang":"en","type":"other","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multicast; Computer network; Node (physics); Computer science; Geocast; Wireless sensor network; Destinations; Set (abstract data type); Wireless; Telecommunications; Routing (electronic design automation); Engineering; Geography; Routing protocol","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":[0.0003361332,0.0004865422,0.0005036779,0.0004109766,0.00008936085,0.0002801266,0.0004789546,0.000695552,0.00009928107],"category_scores_gemma":[0.0001660259,0.0004507477,0.00003820147,0.0003493621,0.0001741225,0.0001039748,0.0007077184,0.0009348412,0.000008480655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001901549,"about_ca_system_score_gemma":0.00002733526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004462471,"about_ca_topic_score_gemma":0.001526886,"domain_scores_codex":[0.9975668,0.00008769159,0.0003607271,0.001043572,0.000246114,0.0006951253],"domain_scores_gemma":[0.9984036,0.000418015,0.0002862189,0.0006264328,0.00003218463,0.0002335524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003092743,0.0004860982,0.02164562,0.0005991705,0.0002274202,0.001594698,0.001583832,0.04338943,0.0007195154,0.02268896,0.08392226,0.8231121],"study_design_scores_gemma":[0.0004831785,0.00003248824,0.0006411134,0.0004274848,0.000009915782,0.0001230417,0.00001881221,0.9643558,0.00001211166,0.00000907888,0.03328233,0.0006046648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01051011,0.002581772,0.5654073,0.00025975,0.002036229,0.0008338328,0.00000543401,0.001944618,0.4164209],"genre_scores_gemma":[0.06044112,0.0004798664,0.6810129,0.0005332596,0.001434727,0.0000304916,0.00001175439,0.0008238393,0.255232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9209663,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006825551916720258,"score_gpt":0.2116191933062325,"score_spread":0.2047936413895122,"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."}}