{"id":"W2997528825","doi":"10.2514/6.2020-1718","title":"Guidance of Unmanned Aerial Gliders for Wildfire Surveillance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Glider; Exploit; Firefighting; Airspeed; Aerodynamics; Computer science; Trajectory; Environmental science; Aerospace engineering; Engineering; Marine engineering; Geography","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":[0.00009054707,0.0002921002,0.0001185714,0.0001311494,0.0001490353,0.0001753601,0.0002061463,0.0002062094,0.0007347395],"category_scores_gemma":[0.0001965877,0.00009230716,0.0001450314,0.00004606221,0.0001594331,0.0002077278,0.0002836358,0.000265677,0.000135356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137083,"about_ca_system_score_gemma":0.0003852909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232514,"about_ca_topic_score_gemma":0.004874155,"domain_scores_codex":[0.9999583,0.000007905865,0.000001626062,0.00000672018,0.00001729402,0.000008100514],"domain_scores_gemma":[0.9999497,0.00001282678,0.00001206523,0.000006998086,0.00001136717,0.000007069323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001318263,0.00007447175,0.002644127,0.00008417037,0.0000251478,0.0002622173,0.0002166961,0.7745404,0.09188774,0.004365168,0.001221632,0.1245464],"study_design_scores_gemma":[0.00001900335,0.000255605,0.0009574773,0.000007254442,0.000006438257,0.00004527117,0.00003716249,0.9874867,0.007350207,0.0008247923,0.003003226,0.000006864412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.345761,0.0003510347,0.6412455,0.0001533208,0.00008023743,0.0001480093,0.00009768001,0.001346627,0.01081653],"genre_scores_gemma":[0.960573,0.00009779679,0.03759607,0.00002400912,0.000006665083,0.00003713325,0.00005130535,0.00001138256,0.001602679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003232514,"threshold_uncertainty_score":0.006427407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007221259561769324,"score_gpt":0.2054610097123797,"score_spread":0.1982397501506104,"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."}}