{"id":"W2901133594","doi":"10.1139/juvs-2018-0022","title":"Wildfire early warning system based on wireless sensors and unmanned aerial vehicle","year":2018,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Technology Sydney","keywords":"Warning system; Environmental science; Bluetooth; Early warning system; Bluetooth Low Energy; Computer science; Remote sensing; Meteorology; Wireless; Geography; Telecommunications","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":[0.0001769991,0.0004111512,0.0003860031,0.000476075,0.0002949895,0.0003036029,0.0005406268,0.0003935486,0.001350395],"category_scores_gemma":[0.0002264661,0.0001836746,0.0001975582,0.0001929816,0.0001018669,0.0007614372,0.0004453736,0.0002694283,0.0003361088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414827,"about_ca_system_score_gemma":0.0002403707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008982461,"about_ca_topic_score_gemma":0.001258918,"domain_scores_codex":[0.9997491,0.00003220943,0.00001678435,0.00006593496,0.0001018905,0.00003400812],"domain_scores_gemma":[0.9998883,0.00001645978,0.00001870954,0.00001439426,0.00004711193,0.00001504328],"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":[0.001178045,0.0006421208,0.01941415,0.0005585363,0.0001918228,0.002031874,0.0005702987,0.02855994,0.3121858,0.006036969,0.01918688,0.6094435],"study_design_scores_gemma":[0.0003019141,0.002811991,0.03063321,0.0001129787,0.0002984636,0.002884999,0.0004746719,0.7626106,0.1485095,0.003614247,0.04757832,0.0001691519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4177351,0.002477658,0.5457097,0.0006050836,0.0005972581,0.0004241945,0.0004051751,0.008624106,0.02342168],"genre_scores_gemma":[0.9653171,0.0004499595,0.02663045,0.0002289707,0.00006063887,0.0001314207,0.0002777978,0.0000206863,0.006882899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001350395,"threshold_uncertainty_score":0.004517555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007093146641072555,"score_gpt":0.195747008429172,"score_spread":0.1886538617880994,"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."}}