{"id":"W2780711228","doi":"10.14796/jwmm.c433","title":"Towards Efficient Use of an Unmanned Aerial Vehicle for Urban Flood Monitoring","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Flood myth; Flooding (psychology); Property (philosophy); Drone; Environmental planning; Remote sensing; Geography; Environmental science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008038594,0.0001674997,0.0002598102,0.0001081329,0.0003310794,0.0002576731,0.0006757521,0.00004062886,0.0000403231],"category_scores_gemma":[0.00001317678,0.0001216681,0.0001619529,0.00003169647,0.00004796726,0.000910092,0.0005512427,0.0000915968,0.00000742855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110643,"about_ca_system_score_gemma":0.000004510944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368713,"about_ca_topic_score_gemma":0.000008016945,"domain_scores_codex":[0.9982849,0.00003160044,0.000557024,0.0002273012,0.0005516256,0.0003475533],"domain_scores_gemma":[0.9990115,0.000007300207,0.0003592712,0.0004722536,0.00004322177,0.0001064772],"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":[0.0002730526,0.0003379959,0.002095087,0.00007041081,0.0001673768,0.00002699403,0.0007785172,0.975194,0.009396642,0.0001450503,0.0002452457,0.01126964],"study_design_scores_gemma":[0.003011293,0.0005144275,0.004835189,0.0001350772,0.0003656585,0.000002439993,0.000517,0.9563366,0.03091135,0.0009348942,0.002113987,0.0003220578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451684,0.000009259804,0.05269809,0.0002127396,0.0009275446,0.0003646095,0.000002142645,0.00001203318,0.0006051341],"genre_scores_gemma":[0.9653637,0.00003469178,0.03397822,0.00001855943,0.0002903546,0.00001004901,0.000002130306,0.00002255653,0.000279778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0215147,"threshold_uncertainty_score":0.4961482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395050766086856,"score_gpt":0.2776541120364821,"score_spread":0.2381490354277965,"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."}}