{"id":"W4247127831","doi":"10.5194/isprs-annals-iv-2-w5-85-2019","title":"PREFACE – ISPRS WORKSHOP ON UNMANNED AERIAL VEHICLES IN GEOMATICS (UAV-g 2019)","year":2019,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Transport and Logistics Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; Rheinische Friedrich-Wilhelms-Universität Bonn; Aalborg Universitet; École Polytechnique Fédérale de Lausanne; Brigham Young University; York University; Politecnico di Torino; University of Twente; Institut Agronomique et Vétérinaire Hassan II","keywords":"Geomatics; Aeronautics; Aerospace engineering; Engineering; Remote sensing; Aerial survey; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005608049,0.0001440419,0.0002017634,0.0002906616,0.0001264277,0.0001208293,0.0002026466,0.00009301093,0.000006909485],"category_scores_gemma":[0.000112751,0.0001088964,0.00005828635,0.0008314343,0.0001935221,0.0002144693,0.00003012546,0.0001792891,0.00001028772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001205738,"about_ca_system_score_gemma":0.00003017897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219376,"about_ca_topic_score_gemma":0.004708637,"domain_scores_codex":[0.9987752,0.00002501978,0.000482585,0.000108185,0.0003476187,0.0002613854],"domain_scores_gemma":[0.9993801,0.0001125693,0.0001482998,0.0002156139,0.0001010158,0.00004236346],"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":[0.00004129025,0.00001581677,0.000740956,0.00009628164,0.00002076582,3.413814e-7,0.00162229,0.122502,0.001318828,0.0001414817,0.0007430299,0.8727569],"study_design_scores_gemma":[0.0002645427,0.00005965099,0.009313369,0.0002121284,0.000006336484,0.000002303396,0.0005713186,0.9751154,0.01065257,0.0008488123,0.00277046,0.0001831508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288944,0.0000448995,0.06506192,0.0007269997,0.001042348,0.0003217205,0.00002508898,0.00007247912,0.003810162],"genre_scores_gemma":[0.9988583,0.00009682521,0.0007136338,0.0002502299,0.00003216214,1.467442e-7,0.000009491682,0.000006646391,0.00003258207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8725737,"threshold_uncertainty_score":0.9943841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821749585259097,"score_gpt":0.2800835854807137,"score_spread":0.2418660896281227,"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."}}