{"id":"W2170340597","doi":"10.1139/juvs-2014-0006","title":"Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges","year":2014,"lang":"en","type":"review","venue":"Journal of Unmanned Vehicle Systems","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":422,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Energy","keywords":"Remote sensing; Hyperspectral imaging; Photogrammetry; Multispectral image; Synthetic aperture radar; Computer science; Systems engineering; Environmental science; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001095636,0.001330758,0.0015439,0.003710086,0.0003882385,0.001225982,0.001083952,0.001508418,0.002313838],"category_scores_gemma":[0.0009264312,0.0005273377,0.0006798594,0.004016791,0.0008185538,0.002878278,0.0008419461,0.001581288,0.001782221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006728221,"about_ca_system_score_gemma":0.00109511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631122,"about_ca_topic_score_gemma":0.001956314,"domain_scores_codex":[0.9995721,0.00005208748,0.00005617002,0.00009400878,0.0001950032,0.00003063631],"domain_scores_gemma":[0.9990953,0.0004522851,0.0001055273,0.0000258407,0.0002753276,0.0000456963],"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":[0.00003215111,0.00007749302,0.0003070417,0.02016368,0.00006894968,0.0001551248,0.0001065288,0.001031433,0.005282464,0.004761475,0.01363141,0.9543822],"study_design_scores_gemma":[0.000007211703,0.0001580109,0.00123101,0.004048035,0.00009110958,0.001199048,0.0001880413,0.0003807405,0.002251877,0.002785317,0.9876084,0.0000512686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001952854,0.9975278,0.0006837561,0.0001987001,0.0001927531,0.000007545788,0.00001668776,0.00001124121,0.00116632],"genre_scores_gemma":[0.001026154,0.9970654,0.001002073,0.0001181034,0.0001976772,0.000008588991,0.00003068912,0.00000368465,0.0005476563],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003710086,"threshold_uncertainty_score":0.007740617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04055605842491157,"score_gpt":0.2549882989483155,"score_spread":0.214432240523404,"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."}}