{"id":"W2038950881","doi":"10.1029/2012eo250005","title":"Small unmanned aircraft systems for remote sensing and Earth science research","year":2012,"lang":"en","type":"article","venue":"Eos","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Lethbridge","funders":"","keywords":"Flexibility (engineering); Remote sensing; Systems engineering; Earth observation; Computer science; Process (computing); Drone; Earth system science; Earth remote sensing; Scale (ratio); High resolution; Aerospace engineering; Satellite; Engineering; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005587743,0.00003692207,0.00004258653,0.00008213046,0.0001647198,0.00005543599,0.00004500637,0.00002451744,8.966225e-7],"category_scores_gemma":[0.00003161885,0.00003644835,0.00000622064,0.0002332312,0.0000495507,0.00009387913,0.00001748311,0.00004974572,0.00001054639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000222268,"about_ca_system_score_gemma":0.000009765074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000416687,"about_ca_topic_score_gemma":0.000008877321,"domain_scores_codex":[0.9995391,0.000008054652,0.00006301486,0.00007829447,0.00008528045,0.000226251],"domain_scores_gemma":[0.9996839,0.00004422202,0.0000046057,0.000122646,0.00008101459,0.00006367497],"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":[0.00002375187,0.00004569355,0.0008325942,0.0008201606,0.0000425388,0.000001356111,0.004341004,0.1992515,0.208233,0.01627386,0.003964656,0.5661699],"study_design_scores_gemma":[0.00006287855,0.000008249902,0.000504698,0.00001755329,0.000002160472,0.000004047984,0.00007458265,0.982646,0.003999729,0.00004339803,0.01258109,0.00005555548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2372704,0.0007688889,0.7583519,0.00005562512,0.0001990933,0.0004609928,0.000003036041,0.0001233005,0.002766661],"genre_scores_gemma":[0.9629362,0.000040968,0.03666727,0.000004346645,0.0001300614,0.000003277924,0.000002316264,0.00001196108,0.0002035544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7833946,"threshold_uncertainty_score":0.1486321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06408464421631478,"score_gpt":0.2999258574023551,"score_spread":0.2358412131860403,"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."}}