{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005318132,0.00006891695,0.00009650309,0.00001773573,0.00009679879,0.00005469634,0.00001488833,0.00005305036,0.00001554872],"category_scores_gemma":[0.00002426908,0.00007162061,0.00002169004,0.00005260813,0.00001412064,0.00007055156,0.000004433507,0.00003102589,0.000008235875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152803,"about_ca_system_score_gemma":0.000008591593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009953065,"about_ca_topic_score_gemma":0.0002183669,"domain_scores_codex":[0.999624,0.00001630095,0.0001156125,0.0001080262,0.00004730045,0.00008875804],"domain_scores_gemma":[0.9998053,0.0000254611,0.00001128196,0.0000763489,0.00005369233,0.00002792776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002568195,0.00006050883,0.00291812,0.001157786,0.0002236366,0.00003070216,0.006663168,0.01795824,0.8080389,0.001264932,0.05488287,0.1065443],"study_design_scores_gemma":[0.002193009,0.00009011768,0.03217689,0.0001573969,0.00003971776,0.0001234855,0.001342657,0.5677739,0.01498966,0.0001796495,0.3803582,0.0005753367],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982342,0.0003634999,0.01551832,0.0002844891,0.0008959586,0.0001211375,0.00001808746,0.0001732571,0.0002832556],"genre_scores_gemma":[0.9982713,0.0000774542,0.000629889,0.00003733541,0.000281301,0.000007410117,0.000032099,0.00001515875,0.0006480656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930493,"threshold_uncertainty_score":0.2920603,"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."}}