{"id":"W3146746004","doi":"10.1109/iwqos.2011.5931350","title":"Utilizing elevator for wireless sensor data collection in high-rise structure monitoring","year":2011,"lang":"en","type":"article","venue":"","topic":"Elevator Systems and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Elevator; Base station; Exploit; Wireless sensor network; Computer science; Network packet; Stairs; Data collection; Computer network; Scheduling (production processes); Real-time computing; Wireless; Telecommunications; Engineering; Computer security","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":[0.001041818,0.0009317531,0.0007710926,0.0004634,0.0007304048,0.001182316,0.001786191,0.001440592,0.0009488409],"category_scores_gemma":[0.001499761,0.0004415138,0.0009469657,0.0009573865,0.0008778073,0.002175705,0.002486331,0.001360515,0.0004205869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004059,"about_ca_system_score_gemma":0.000750177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318973,"about_ca_topic_score_gemma":0.004372471,"domain_scores_codex":[0.9985593,0.0004480219,0.00006582459,0.0003885351,0.0003473276,0.0001909434],"domain_scores_gemma":[0.9991562,0.0002533298,0.0001649405,0.0001921546,0.0001397072,0.00009356807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005943099,0.0003041239,0.01914771,0.0005219812,0.000169141,0.002225554,0.0009365014,0.6959658,0.08163653,0.04039541,0.003357721,0.1547453],"study_design_scores_gemma":[0.00002053965,0.000256632,0.002874856,0.00003205503,0.00004424704,0.000352835,0.0002304461,0.9724633,0.01156431,0.008055174,0.00406646,0.0000392114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04055499,0.0003395401,0.9565468,0.0001983911,0.00005159887,0.00007535839,0.00009226819,0.0004816821,0.00165922],"genre_scores_gemma":[0.751555,0.0005388932,0.2444755,0.000145428,0.00006559661,0.0001358621,0.0002571545,0.00005859912,0.002767834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002318973,"threshold_uncertainty_score":0.005509734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837786540345909,"score_gpt":0.2345403395061708,"score_spread":0.1961624741027118,"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."}}