{"id":"W3010938599","doi":"10.3390/rs12060981","title":"Crop Loss Evaluation Using Digital Surface Models from Unmanned Aerial Vehicles Data","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Computer science; Remote sensing; Terrain; Orthophoto; Environmental science; Agricultural engineering; Artificial intelligence; Cartography; Geography","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":[0.000549481,0.0007596955,0.0004070188,0.002008248,0.000173866,0.00108371,0.0004947921,0.0005040063,0.0009374102],"category_scores_gemma":[0.001441802,0.0002475091,0.0008556588,0.0008867938,0.0002124473,0.0007092235,0.0005487085,0.0003508551,0.0004742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003335,"about_ca_system_score_gemma":0.0003666558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007695327,"about_ca_topic_score_gemma":0.005592505,"domain_scores_codex":[0.9996369,0.00004396089,0.00002568433,0.00007673754,0.0001557956,0.00006088853],"domain_scores_gemma":[0.9994797,0.0001437426,0.00008596862,0.0000883971,0.0001595005,0.00004265353],"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":[0.0003418328,0.0002264597,0.03288412,0.0001596376,0.0001839109,0.000356304,0.0001508547,0.7747096,0.01854855,0.0004084016,0.001283528,0.1707469],"study_design_scores_gemma":[0.000006079481,0.00003997109,0.01455415,0.000007174771,0.00001399673,0.00004054331,0.00006022942,0.9815289,0.003226949,0.0001213596,0.0003897453,0.0000109733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901763,0.0003167329,0.09280827,0.0001114313,0.00006039957,0.0001045086,0.001381297,0.001637149,0.00181717],"genre_scores_gemma":[0.9792762,0.0001320181,0.01860808,0.00001507379,0.000008108351,0.00003500578,0.001434333,0.0000528563,0.0004383849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007695327,"threshold_uncertainty_score":0.01530105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955001933249846,"score_gpt":0.2937677491334398,"score_spread":0.1982675558084552,"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."}}