{"id":"W3130567206","doi":"10.3390/drones5010015","title":"Unmanned Aerial Vehicles for Wildland Fires: Sensing, Perception, Cooperation and Assistance","year":2021,"lang":"en","type":"article","venue":"Drones","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Firefighting; Fire detection; Task (project management); Cover (algebra); Scale (ratio); Aerial survey","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001633916,0.0003414381,0.0002212868,0.0002198565,0.0001717534,0.0004911834,0.0003365534,0.0004527535,0.0007278173],"category_scores_gemma":[0.0002558503,0.00008718616,0.0002006633,0.0002309599,0.0001795584,0.0006175319,0.000405091,0.0004111526,0.0002600389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669593,"about_ca_system_score_gemma":0.0002860212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413914,"about_ca_topic_score_gemma":0.001439367,"domain_scores_codex":[0.999879,0.000027035,0.000005883533,0.00002208278,0.00004665254,0.00001947225],"domain_scores_gemma":[0.9999127,0.00002960887,0.00001774671,0.0000108796,0.0000201961,0.000008913542],"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":[0.0001083971,0.0001105603,0.002407337,0.0008474453,0.00007991419,0.0004732136,0.0003016248,0.09424157,0.1307419,0.0286958,0.005547888,0.7364443],"study_design_scores_gemma":[0.00003697231,0.0009065166,0.007892906,0.0003147701,0.0001078153,0.001143858,0.0009173883,0.7313528,0.06344597,0.02758982,0.1662051,0.0000861302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08757562,0.03152669,0.8525791,0.000759037,0.0004257954,0.0001426747,0.0001288966,0.0007841646,0.02607808],"genre_scores_gemma":[0.8830306,0.01701095,0.08910488,0.0002466381,0.0002437284,0.00006891255,0.0002966865,0.00003375287,0.009963919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413914,"threshold_uncertainty_score":0.002811432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008225007616847607,"score_gpt":0.2053960471278135,"score_spread":0.1971710395109659,"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."}}