{"id":"W1597968895","doi":"10.1002/9781118511305.ch21","title":"Robot‐Assisted Wireless Sensor Networks: Recent Applications and Future Challenges","year":2013,"lang":"en","type":"other","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer science; Robot; Key distribution in wireless sensor networks; Software deployment; Wireless; Computer network; Distributed computing; Wireless network; Artificial intelligence; Telecommunications; Software engineering","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":[0.002349927,0.0008687055,0.0007422924,0.001282067,0.0007050907,0.002788641,0.001658371,0.002346626,0.006015045],"category_scores_gemma":[0.00242486,0.0005230401,0.0004491711,0.002703055,0.002302998,0.007646304,0.001962573,0.002991769,0.003194358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518852,"about_ca_system_score_gemma":0.0007376644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005481725,"about_ca_topic_score_gemma":0.0008236383,"domain_scores_codex":[0.9992225,0.0002091584,0.00004949642,0.0001161809,0.0003401465,0.00006244118],"domain_scores_gemma":[0.9976475,0.001393783,0.0001065744,0.0001745191,0.0005303947,0.0001471967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005635921,0.00008531057,0.000427419,0.00328628,0.00002941453,0.0001444215,0.0002234789,0.006393694,0.00176313,0.1437621,0.04423561,0.7995927],"study_design_scores_gemma":[0.000008620357,0.0001207528,0.000414077,0.001278605,0.00001873368,0.0006133901,0.0004972024,0.01158398,0.000876329,0.1184098,0.8661262,0.0000524042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002581523,0.8984464,0.03827653,0.01835408,0.003282787,0.00003874519,0.00007026347,0.000243644,0.03870607],"genre_scores_gemma":[0.02548433,0.933512,0.0190954,0.002200467,0.005317213,0.00007302377,0.0001307897,0.00007959926,0.01410719],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006015045,"threshold_uncertainty_score":0.02012229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149368768563086,"score_gpt":0.2206729066111341,"score_spread":0.2057360297548256,"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."}}