{"id":"W2372777597","doi":"","title":"Design of Tobacco Warehouse Monitoring System Based on ZigBee","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Embedded system; Node (physics); Wireless sensor network; Software; Host (biology); Sensor node; Warehouse; ARM architecture; Computer hardware; NeuRFon; Real-time computing; Wireless; Operating system; Wireless network; Key distribution in wireless sensor networks","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000246142,0.0002968575,0.0003607773,0.0003649562,0.0003373403,0.0005770895,0.0006728993,0.0003617562,0.002180072],"category_scores_gemma":[0.0002241655,0.0002802631,0.0002309031,0.0002544723,0.0001310883,0.0004835575,0.0002402795,0.0002104715,0.0009643156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253307,"about_ca_system_score_gemma":0.0004332735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008810691,"about_ca_topic_score_gemma":0.0007083437,"domain_scores_codex":[0.9997008,0.00003729304,0.00002427501,0.0000937885,0.0001176292,0.00002623806],"domain_scores_gemma":[0.9998715,0.00001331802,0.00001139245,0.00001099529,0.00008118847,0.00001158262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006575271,0.0002875272,0.01267258,0.001053648,0.0002726798,0.000950961,0.0009845,0.02530509,0.4713477,0.01269443,0.01673808,0.4570352],"study_design_scores_gemma":[0.0006969523,0.001950614,0.02454254,0.0002273813,0.0006498935,0.004111574,0.0003110401,0.4489004,0.3244232,0.00435041,0.1895992,0.0002367747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07966962,0.0009848939,0.8884659,0.0005097056,0.0003335685,0.0006217536,0.0002610492,0.006931544,0.02222197],"genre_scores_gemma":[0.7915446,0.000855567,0.179514,0.0004219912,0.0001477723,0.0007940743,0.0006101541,0.0001386176,0.02597316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002180072,"threshold_uncertainty_score":0.007293046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460353023087949,"score_gpt":0.1917536625226981,"score_spread":0.1671501322918186,"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."}}